diff --git "a/.ipynb_checkpoints/gradio_tryout-checkpoint.ipynb" "b/.ipynb_checkpoints/gradio_tryout-checkpoint.ipynb"
--- "a/.ipynb_checkpoints/gradio_tryout-checkpoint.ipynb"
+++ "b/.ipynb_checkpoints/gradio_tryout-checkpoint.ipynb"
@@ -24,10 +24,108 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 36,
    "id": "f8c28d2d-8458-49fd-8ebf-5e729d6e861f",
    "metadata": {},
    "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "9ec45d8fb4e247e4b1188972547ebb7f",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "config.json:   0%|          | 0.00/1.09k [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "991968ef7a0448b39ca84316e6d06902",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "model.safetensors:   0%|          | 0.00/369M [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "561c0cdcc88f4cd6b89dd19bcc0599cb",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "tokenizer_config.json:   0%|          | 0.00/1.28k [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "c5e517b2512246018e5cb1fdc8d3e1e1",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "spm.model:   0%|          | 0.00/2.46M [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "03b470dec7174fd29b9b0e4afab759a0",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "tokenizer.json:   0%|          | 0.00/8.66M [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "16d24496b31b4c0fb7744c8ee1222d40",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "added_tokens.json:   0%|          | 0.00/23.0 [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "ef2aefc365734c1884bbbb04d79edf5b",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "special_tokens_map.json:   0%|          | 0.00/286 [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "name": "stderr",
      "output_type": "stream",
@@ -56,7 +154,10 @@
     "import os\n",
     "\n",
     "# Load the model and create a pipeline for zero-shot classification (1min loading + classifying with 89 labels)\n",
-    "classifier = pipeline(\"zero-shot-classification\", model=\"facebook/bart-large-mnli\")\n",
+    "classifier = pipeline(\"zero-shot-classification\", model=\"MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli\")\n",
+    "# tried:\n",
+    "# facebook/bart-large-mnli\n",
+    "# sileod/deberta-v3-base-tasksource-nli\n",
     "\n",
     "# get candidate labels\n",
     "with open(\"packing_label_structure.json\", \"r\") as file:\n",
@@ -81,7 +182,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 37,
    "id": "3a762755-872d-43a6-b666-874d6133488c",
    "metadata": {},
    "outputs": [],
@@ -111,51 +212,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "id": "a8087c21-1723-4d8b-b16a-b9a8c4711b3c",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'sequence': 'We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.', 'labels': ['city trip', 'micro-adventure / weekend trip', 'cultural exploration', 'festival trip', 'digital nomad trip', 'nature escape', 'hut trek (summer)', 'hut trek (winter)', 'yoga / wellness retreat', 'ski tour / skitour', 'long-distance hike / thru-hike', 'road trip (car/camper)', 'snowboard / splitboard trip', 'beach vacation', 'camping trip (campground)', 'camping trip (wild camping)'], 'scores': [0.43876224756240845, 0.28949078917503357, 0.2296781688928604, 0.013231690041720867, 0.006261605303734541, 0.0048823230899870396, 0.004273542668670416, 0.003523954190313816, 0.002200624207034707, 0.0017751322593539953, 0.0012460413854569197, 0.001187920686788857, 0.001103689894080162, 0.0010212253546342254, 0.0007383587071672082, 0.0006226822733879089]}\n",
-      "city trip\n",
-      "0\n",
-      "{'sequence': 'We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.', 'labels': ['sightseeing', 'running', 'relaxing', 'photography', 'stand-up paddleboarding (SUP)', 'yoga', 'swimming', 'horseback riding', 'biking', 'hiking', 'fishing', 'hut-to-hut hiking', 'snowshoe hiking', 'surfing', 'cross-country skiing', 'ice climbing', 'rock climbing', 'skiing', 'paragliding', 'snorkeling', 'kayaking / canoeing', 'rafting', 'ski touring', 'scuba diving', 'going to the beach'], 'scores': [0.993356466293335, 0.6435525417327881, 0.22852905094623566, 0.041904889047145844, 0.016036055982112885, 0.009409126825630665, 0.005277613643556833, 0.0045664007775485516, 0.003934502601623535, 0.0032551318872720003, 0.0029276658315211535, 0.0028460840694606304, 0.002796007553115487, 0.002782624214887619, 0.0026962263509631157, 0.0022985099349170923, 0.0018938799621537328, 0.0014590730424970388, 0.0014523258432745934, 0.0011245544301345944, 0.0010432893177494407, 0.0005298255709931254, 0.0005263364873826504, 0.0003157037717755884, 0.0002174152177758515]}\n",
-      "['sightseeing', 'running']\n",
-      "1\n",
-      "{'sequence': 'We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.', 'labels': ['variable weather / spring / autumn', 'warm destination / summer', 'dry / desert-like', 'cold destination / winter', 'tropical / humid'], 'scores': [0.2885315418243408, 0.26166394352912903, 0.21071799099445343, 0.13520291447639465, 0.10388367623090744]}\n",
-      "variable weather / spring / autumn\n",
-      "2\n",
-      "{'sequence': 'We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.', 'labels': ['ultralight', 'lightweight (but comfortable)', 'luxury (including evening wear)', 'minimalist'], 'scores': [0.33056551218032837, 0.29158779978752136, 0.19290487468242645, 0.18494176864624023]}\n",
-      "ultralight\n",
-      "3\n",
-      "{'sequence': 'We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.', 'labels': ['conservative', 'casual', 'formal (business trip)'], 'scores': [0.5861191749572754, 0.37694796919822693, 0.0369328074157238]}\n",
-      "conservative\n",
-      "4\n",
-      "{'sequence': 'We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.', 'labels': ['huts with half board', 'indoor', 'sleeping in a car', 'sleeping in a tent'], 'scores': [0.4559071660041809, 0.4436822831630707, 0.05552537366747856, 0.04488520696759224]}\n",
-      "huts with half board\n",
-      "5\n",
-      "{'sequence': 'We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.', 'labels': ['vehicle', 'no vehicle'], 'scores': [0.9014678001403809, 0.09853222221136093]}\n",
-      "vehicle\n",
-      "6\n",
-      "{'sequence': 'We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.', 'labels': ['pet-friendly', 'rainy climate', 'off-grid / no electricity', 'self-supported (bring your own food/cooking)', 'snow and ice', 'high alpine terrain', 'no special conditions', 'child-friendly', 'avalanche-prone terrain'], 'scores': [0.19365736842155457, 0.16660872101783752, 0.16359402239322662, 0.1427871584892273, 0.09902289509773254, 0.06602667272090912, 0.06477302312850952, 0.05932661145925522, 0.04420347884297371]}\n",
-      "pet-friendly\n",
-      "7\n",
-      "{'sequence': 'We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.', 'labels': ['3 days', '4 days', '1 day', '2 days', '7+ days', '5 days', '7 days', '6 days'], 'scores': [0.9385411143302917, 0.012675816193223, 0.009355404414236546, 0.00852197129279375, 0.00844663381576538, 0.00801017601042986, 0.00785527192056179, 0.006593691650778055]}\n",
-      "3 days\n",
-      "8\n"
-     ]
-    }
-   ],
-   "source": [
-    "test = pred_trip(first_trip, first_trip_type, cut_off = 0.5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 38,
    "id": "3b4f3193-3bdd-453c-8664-df84f955600c",
    "metadata": {},
    "outputs": [],
@@ -182,47 +239,6 @@
     "    return(df_perf)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "ac8e6536-6b00-40b4-8231-877547926d5b",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "           superclass                          pred_class  \\\n",
-      "0       activity_type                           city trip   \n",
-      "1          activities              [sightseeing, running]   \n",
-      "2   climate_or_season  variable weather / spring / autumn   \n",
-      "3    style_or_comfort                          ultralight   \n",
-      "4          dress_code                        conservative   \n",
-      "5       accommodation                huts with half board   \n",
-      "6      transportation                             vehicle   \n",
-      "7  special_conditions                        pet-friendly   \n",
-      "8    trip_length_days                              3 days   \n",
-      "\n",
-      "                           true_class  \n",
-      "0                           city trip  \n",
-      "1                       [sightseeing]  \n",
-      "2  variable weather / spring / autumn  \n",
-      "3     luxury (including evening wear)  \n",
-      "4                              casual  \n",
-      "5                              indoor  \n",
-      "6                          no vehicle  \n",
-      "7                no special condition  \n",
-      "8                              3 days  \n",
-      "   accuracy  true_ident  false_pred\n",
-      "0  0.333333         1.0         0.5\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(test)\n",
-    "print(perf_measure(test))"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "62c5c18c-58f4-465c-a188-c57cfa7ffa90",
@@ -233,561 +249,80 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 39,
    "id": "4dd01755-be8d-4904-8494-ac28aba2fee7",
    "metadata": {
     "scrolled": true
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Asking to truncate to max_length but no maximum length is provided and the model has no predefined maximum length. Default to no truncation.\n"
+     ]
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['beach vacation', 'micro-adventure / weekend trip', 'nature escape', 'digital nomad trip', 'cultural exploration', 'yoga / wellness retreat', 'festival trip', 'long-distance hike / thru-hike', 'hut trek (summer)', 'city trip', 'road trip (car/camper)', 'ski tour / skitour', 'camping trip (campground)', 'snowboard / splitboard trip', 'camping trip (wild camping)', 'hut trek (winter)'], 'scores': [0.37631064653396606, 0.35016775131225586, 0.13397355377674103, 0.031636204570531845, 0.031270742416381836, 0.012846449390053749, 0.012699575163424015, 0.009526746347546577, 0.008148356340825558, 0.007793044205754995, 0.006512156222015619, 0.005669699050486088, 0.0044484627433121204, 0.004113250877708197, 0.002713854657486081, 0.002169555053114891]}\n",
+      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['beach vacation', 'micro-adventure / weekend trip', 'cultural exploration', 'nature escape', 'digital nomad trip', 'camping trip (campground)', 'camping trip (wild camping)', 'long-distance hike / thru-hike', 'ski tour / skitour', 'hut trek (summer)', 'city trip', 'hut trek (winter)', 'road trip (car/camper)', 'festival trip', 'yoga / wellness retreat', 'snowboard / splitboard trip'], 'scores': [0.37198853492736816, 0.31496119499206543, 0.10890532284975052, 0.09102731198072433, 0.0735681876540184, 0.012933704070746899, 0.009422042407095432, 0.0051276967860758305, 0.004056071396917105, 0.0017408831045031548, 0.001503779087215662, 0.0014244643971323967, 0.0013752576196566224, 0.0009292717440985143, 0.0006881792796775699, 0.0003480584127828479]}\n",
       "beach vacation\n",
       "0\n",
-      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['going to the beach', 'relaxing', 'hiking', 'swimming', 'sightseeing', 'running', 'hut-to-hut hiking', 'biking', 'photography', 'surfing', 'stand-up paddleboarding (SUP)', 'snorkeling', 'yoga', 'kayaking / canoeing', 'rock climbing', 'fishing', 'paragliding', 'rafting', 'horseback riding', 'snowshoe hiking', 'cross-country skiing', 'ice climbing', 'skiing', 'scuba diving', 'ski touring'], 'scores': [0.9914858341217041, 0.9771362543106079, 0.9426282048225403, 0.21901991963386536, 0.17586199939250946, 0.09854521602392197, 0.08370419591665268, 0.03679152950644493, 0.03668990358710289, 0.03099300153553486, 0.025300050154328346, 0.021451234817504883, 0.011070131324231625, 0.0075112744234502316, 0.006306737195700407, 0.0034973458386957645, 0.002655829070135951, 0.00197031581774354, 0.0015599008183926344, 0.001527810120023787, 0.0015017405385151505, 0.0014336870517581701, 0.0011686616344377398, 0.000789369223639369, 0.0004912536824122071]}\n",
-      "['going to the beach', 'relaxing', 'hiking']\n",
-      "1\n",
-      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['warm destination / summer', 'tropical / humid', 'variable weather / spring / autumn', 'dry / desert-like', 'cold destination / winter'], 'scores': [0.6468702554702759, 0.19999535381793976, 0.09394325315952301, 0.05279730260372162, 0.0063938056118786335]}\n",
-      "warm destination / summer\n",
-      "2\n",
-      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['minimalist', 'ultralight', 'lightweight (but comfortable)', 'luxury (including evening wear)'], 'scores': [0.4286234974861145, 0.2564568817615509, 0.2147122174501419, 0.10020739585161209]}\n",
-      "minimalist\n",
-      "3\n",
-      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['casual', 'conservative', 'formal (business trip)'], 'scores': [0.6567223072052002, 0.3034382164478302, 0.039839524775743484]}\n",
-      "casual\n",
-      "4\n",
-      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['huts with half board', 'indoor', 'sleeping in a car', 'sleeping in a tent'], 'scores': [0.5007699728012085, 0.34074831008911133, 0.10416240990161896, 0.05431929975748062]}\n",
-      "huts with half board\n",
-      "5\n",
-      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['no own vehicle', 'own vehicle'], 'scores': [0.9397839307785034, 0.0602160282433033]}\n",
-      "no own vehicle\n",
-      "6\n",
-      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['off-grid / no electricity', 'self-supported (bring your own food/cooking)', 'no special conditions', 'pet-friendly', 'rainy climate', 'child-friendly', 'snow and ice', 'high alpine terrain', 'avalanche-prone terrain'], 'scores': [0.46220096945762634, 0.12957870960235596, 0.10651793330907822, 0.09777138382196426, 0.06722460687160492, 0.0632496327161789, 0.04952802509069443, 0.015049820765852928, 0.008878983557224274]}\n",
-      "off-grid / no electricity\n",
-      "7\n",
-      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['7+ days', '2 days', '1 day', '6 days', '3 days', '4 days', '7 days', '5 days'], 'scores': [0.21139054000377655, 0.18512114882469177, 0.14520084857940674, 0.0976138487458229, 0.094282366335392, 0.09376301616430283, 0.09161651134490967, 0.08101171255111694]}\n",
-      "7+ days\n",
-      "8\n",
-      "           superclass                              pred_class  \\\n",
-      "0       activity_type                          beach vacation   \n",
-      "1          activities  [going to the beach, relaxing, hiking]   \n",
-      "2   climate_or_season               warm destination / summer   \n",
-      "3    style_or_comfort                              minimalist   \n",
-      "4          dress_code                                  casual   \n",
-      "5       accommodation                    huts with half board   \n",
-      "6      transportation                          no own vehicle   \n",
-      "7  special_conditions               off-grid / no electricity   \n",
-      "8    trip_length_days                                 7+ days   \n",
-      "\n",
-      "                                         true_class  \n",
-      "0                                    beach vacation  \n",
-      "1  [swimming, going to the beach, relaxing, hiking]  \n",
-      "2                         warm destination / summer  \n",
-      "3                     lightweight (but comfortable)  \n",
-      "4                                            casual  \n",
-      "5                                            indoor  \n",
-      "6                                    no own vehicle  \n",
-      "7                             no special conditions  \n",
-      "8                                            7 days  \n",
-      "   accuracy  true_ident  false_pred\n",
-      "0  0.444444        0.75         0.0\n",
-      "{'sequence': 'We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.', 'labels': ['city trip', 'micro-adventure / weekend trip', 'cultural exploration', 'festival trip', 'digital nomad trip', 'nature escape', 'hut trek (summer)', 'hut trek (winter)', 'yoga / wellness retreat', 'ski tour / skitour', 'long-distance hike / thru-hike', 'road trip (car/camper)', 'snowboard / splitboard trip', 'beach vacation', 'camping trip (campground)', 'camping trip (wild camping)'], 'scores': [0.43876224756240845, 0.28949078917503357, 0.2296781688928604, 0.013231690041720867, 0.006261605303734541, 0.0048823230899870396, 0.004273542668670416, 0.003523954190313816, 0.002200624207034707, 0.0017751322593539953, 0.0012460413854569197, 0.001187920686788857, 0.001103689894080162, 0.0010212253546342254, 0.0007383587071672082, 0.0006226822733879089]}\n",
-      "city trip\n",
-      "0\n",
-      "{'sequence': 'We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.', 'labels': ['sightseeing', 'running', 'relaxing', 'photography', 'stand-up paddleboarding (SUP)', 'yoga', 'swimming', 'horseback riding', 'biking', 'hiking', 'fishing', 'hut-to-hut hiking', 'snowshoe hiking', 'surfing', 'cross-country skiing', 'ice climbing', 'rock climbing', 'skiing', 'paragliding', 'snorkeling', 'kayaking / canoeing', 'rafting', 'ski touring', 'scuba diving', 'going to the beach'], 'scores': [0.993356466293335, 0.6435525417327881, 0.22852905094623566, 0.041904889047145844, 0.016036055982112885, 0.009409126825630665, 0.005277613643556833, 0.0045664007775485516, 0.003934502601623535, 0.0032551318872720003, 0.0029276658315211535, 0.0028460840694606304, 0.002796007553115487, 0.002782624214887619, 0.0026962263509631157, 0.0022985099349170923, 0.0018938799621537328, 0.0014590730424970388, 0.0014523258432745934, 0.0011245544301345944, 0.0010432893177494407, 0.0005298255709931254, 0.0005263364873826504, 0.0003157037717755884, 0.0002174152177758515]}\n",
-      "['sightseeing', 'running']\n",
-      "1\n",
-      "{'sequence': 'We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.', 'labels': ['variable weather / spring / autumn', 'warm destination / summer', 'dry / desert-like', 'cold destination / winter', 'tropical / humid'], 'scores': [0.2885315418243408, 0.26166394352912903, 0.21071799099445343, 0.13520291447639465, 0.10388367623090744]}\n",
-      "variable weather / spring / autumn\n",
-      "2\n",
-      "{'sequence': 'We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.', 'labels': ['ultralight', 'lightweight (but comfortable)', 'luxury (including evening wear)', 'minimalist'], 'scores': [0.33056551218032837, 0.29158779978752136, 0.19290487468242645, 0.18494176864624023]}\n",
-      "ultralight\n",
-      "3\n",
-      "{'sequence': 'We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.', 'labels': ['conservative', 'casual', 'formal (business trip)'], 'scores': [0.5861191749572754, 0.37694796919822693, 0.0369328074157238]}\n",
-      "conservative\n",
-      "4\n",
-      "{'sequence': 'We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.', 'labels': ['huts with half board', 'indoor', 'sleeping in a car', 'sleeping in a tent'], 'scores': [0.4559071660041809, 0.4436822831630707, 0.05552537366747856, 0.04488520696759224]}\n",
-      "huts with half board\n",
-      "5\n",
-      "{'sequence': 'We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.', 'labels': ['no own vehicle', 'own vehicle'], 'scores': [0.6754207015037537, 0.32457926869392395]}\n",
-      "no own vehicle\n",
-      "6\n",
-      "{'sequence': 'We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.', 'labels': ['pet-friendly', 'rainy climate', 'off-grid / no electricity', 'self-supported (bring your own food/cooking)', 'snow and ice', 'high alpine terrain', 'no special conditions', 'child-friendly', 'avalanche-prone terrain'], 'scores': [0.19365736842155457, 0.16660872101783752, 0.16359402239322662, 0.1427871584892273, 0.09902289509773254, 0.06602667272090912, 0.06477302312850952, 0.05932661145925522, 0.04420347884297371]}\n",
-      "pet-friendly\n",
-      "7\n",
-      "{'sequence': 'We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.', 'labels': ['3 days', '4 days', '1 day', '2 days', '7+ days', '5 days', '7 days', '6 days'], 'scores': [0.9385411143302917, 0.012675816193223, 0.009355404414236546, 0.00852197129279375, 0.00844663381576538, 0.00801017601042986, 0.00785527192056179, 0.006593691650778055]}\n",
-      "3 days\n",
-      "8\n",
-      "           superclass                          pred_class  \\\n",
-      "0       activity_type                           city trip   \n",
-      "1          activities              [sightseeing, running]   \n",
-      "2   climate_or_season  variable weather / spring / autumn   \n",
-      "3    style_or_comfort                          ultralight   \n",
-      "4          dress_code                        conservative   \n",
-      "5       accommodation                huts with half board   \n",
-      "6      transportation                      no own vehicle   \n",
-      "7  special_conditions                        pet-friendly   \n",
-      "8    trip_length_days                              3 days   \n",
-      "\n",
-      "                           true_class  \n",
-      "0                           city trip  \n",
-      "1                       [sightseeing]  \n",
-      "2  variable weather / spring / autumn  \n",
-      "3     luxury (including evening wear)  \n",
-      "4                              casual  \n",
-      "5                              indoor  \n",
-      "6                      no own vehicle  \n",
-      "7                no special condition  \n",
-      "8                              3 days  \n",
-      "   accuracy  true_ident  false_pred\n",
-      "0  0.444444        0.75         0.0\n",
-      "0  0.444444        1.00         0.5\n",
-      "{'sequence': 'My partner and I are traveling to the Netherlands and Germany to spend Christmas with our family. We are in our late twenties and will start our journey with a two-hour flight to the Netherlands. From there, we will take a 5.5-hour train ride to northern Germany.', 'labels': ['micro-adventure / weekend trip', 'cultural exploration', 'festival trip', 'city trip', 'digital nomad trip', 'hut trek (winter)', 'nature escape', 'ski tour / skitour', 'snowboard / splitboard trip', 'long-distance hike / thru-hike', 'yoga / wellness retreat', 'road trip (car/camper)', 'hut trek (summer)', 'camping trip (campground)', 'beach vacation', 'camping trip (wild camping)'], 'scores': [0.2392912209033966, 0.15534718334674835, 0.13751967251300812, 0.09226146340370178, 0.07452593743801117, 0.06707481294870377, 0.04759081080555916, 0.043233778327703476, 0.028630005195736885, 0.01878121681511402, 0.0180769432336092, 0.017894743010401726, 0.017357835546135902, 0.017217138782143593, 0.01436654757708311, 0.010830691084265709]}\n",
-      "micro-adventure / weekend trip\n",
-      "0\n",
-      "{'sequence': 'My partner and I are traveling to the Netherlands and Germany to spend Christmas with our family. We are in our late twenties and will start our journey with a two-hour flight to the Netherlands. From there, we will take a 5.5-hour train ride to northern Germany.', 'labels': ['running', 'sightseeing', 'photography', 'stand-up paddleboarding (SUP)', 'relaxing', 'cross-country skiing', 'skiing', 'biking', 'horseback riding', 'kayaking / canoeing', 'hiking', 'snowshoe hiking', 'rock climbing', 'ice climbing', 'fishing', 'ski touring', 'going to the beach', 'hut-to-hut hiking', 'rafting', 'swimming', 'surfing', 'snorkeling', 'yoga', 'paragliding', 'scuba diving'], 'scores': [0.7003850340843201, 0.11371292173862457, 0.037029631435871124, 0.03360823914408684, 0.02719508484005928, 0.020364845171570778, 0.01584702357649803, 0.015790844336152077, 0.015647919848561287, 0.012953400611877441, 0.010651995427906513, 0.009859885089099407, 0.008985543623566628, 0.008797547779977322, 0.007938007824122906, 0.007290820125490427, 0.006831961218267679, 0.006372789852321148, 0.006293026264756918, 0.004361668601632118, 0.00409139646217227, 0.0032699385192245245, 0.0026200537104159594, 0.0024058902636170387, 0.0014953003264963627]}\n",
-      "['running']\n",
-      "1\n",
-      "{'sequence': 'My partner and I are traveling to the Netherlands and Germany to spend Christmas with our family. We are in our late twenties and will start our journey with a two-hour flight to the Netherlands. From there, we will take a 5.5-hour train ride to northern Germany.', 'labels': ['cold destination / winter', 'warm destination / summer', 'dry / desert-like', 'tropical / humid', 'variable weather / spring / autumn'], 'scores': [0.32574304938316345, 0.19408294558525085, 0.17832006514072418, 0.1775846630334854, 0.12426932901144028]}\n",
-      "cold destination / winter\n",
-      "2\n",
-      "{'sequence': 'My partner and I are traveling to the Netherlands and Germany to spend Christmas with our family. We are in our late twenties and will start our journey with a two-hour flight to the Netherlands. From there, we will take a 5.5-hour train ride to northern Germany.', 'labels': ['lightweight (but comfortable)', 'minimalist', 'luxury (including evening wear)', 'ultralight'], 'scores': [0.334703654050827, 0.25336575508117676, 0.2077224999666214, 0.204208105802536]}\n",
-      "lightweight (but comfortable)\n",
-      "3\n",
-      "{'sequence': 'My partner and I are traveling to the Netherlands and Germany to spend Christmas with our family. We are in our late twenties and will start our journey with a two-hour flight to the Netherlands. From there, we will take a 5.5-hour train ride to northern Germany.', 'labels': ['casual', 'conservative', 'formal (business trip)'], 'scores': [0.5872262120246887, 0.3484684228897095, 0.06430540233850479]}\n",
-      "casual\n",
-      "4\n",
-      "{'sequence': 'My partner and I are traveling to the Netherlands and Germany to spend Christmas with our family. We are in our late twenties and will start our journey with a two-hour flight to the Netherlands. From there, we will take a 5.5-hour train ride to northern Germany.', 'labels': ['huts with half board', 'indoor', 'sleeping in a tent', 'sleeping in a car'], 'scores': [0.4828520715236664, 0.29535308480262756, 0.13302002847194672, 0.08877479285001755]}\n",
-      "huts with half board\n",
-      "5\n",
-      "{'sequence': 'My partner and I are traveling to the Netherlands and Germany to spend Christmas with our family. We are in our late twenties and will start our journey with a two-hour flight to the Netherlands. From there, we will take a 5.5-hour train ride to northern Germany.', 'labels': ['own vehicle', 'no own vehicle'], 'scores': [0.5420998334884644, 0.45790019631385803]}\n",
-      "own vehicle\n",
-      "6\n",
-      "{'sequence': 'My partner and I are traveling to the Netherlands and Germany to spend Christmas with our family. We are in our late twenties and will start our journey with a two-hour flight to the Netherlands. From there, we will take a 5.5-hour train ride to northern Germany.', 'labels': ['off-grid / no electricity', 'high alpine terrain', 'snow and ice', 'rainy climate', 'self-supported (bring your own food/cooking)', 'pet-friendly', 'avalanche-prone terrain', 'child-friendly', 'no special conditions'], 'scores': [0.2509196698665619, 0.14195245504379272, 0.1384759396314621, 0.13007090985774994, 0.11442799866199493, 0.09318387508392334, 0.04901996999979019, 0.04704733192920685, 0.03490184620022774]}\n",
-      "off-grid / no electricity\n",
-      "7\n",
-      "{'sequence': 'My partner and I are traveling to the Netherlands and Germany to spend Christmas with our family. We are in our late twenties and will start our journey with a two-hour flight to the Netherlands. From there, we will take a 5.5-hour train ride to northern Germany.', 'labels': ['7+ days', '2 days', '5 days', '1 day', '3 days', '6 days', '4 days', '7 days'], 'scores': [0.1944044679403305, 0.15996229648590088, 0.14701354503631592, 0.11328177154064178, 0.11079160124063492, 0.09671943634748459, 0.0910923033952713, 0.08673460781574249]}\n",
-      "7+ days\n",
-      "8\n",
-      "           superclass                      pred_class  \\\n",
-      "0       activity_type  micro-adventure / weekend trip   \n",
-      "1          activities                       [running]   \n",
-      "2   climate_or_season       cold destination / winter   \n",
-      "3    style_or_comfort   lightweight (but comfortable)   \n",
-      "4          dress_code                          casual   \n",
-      "5       accommodation            huts with half board   \n",
-      "6      transportation                     own vehicle   \n",
-      "7  special_conditions       off-grid / no electricity   \n",
-      "8    trip_length_days                         7+ days   \n",
-      "\n",
-      "                      true_class  \n",
-      "0                      city trip  \n",
-      "1                     [relaxing]  \n",
-      "2      cold destination / winter  \n",
-      "3  lightweight (but comfortable)  \n",
-      "4                         casual  \n",
-      "5                         indoor  \n",
-      "6                 no own vehicle  \n",
-      "7           no special condition  \n",
-      "8                        7+ days  \n",
-      "   accuracy  true_ident  false_pred\n",
-      "0  0.444444        0.75         0.0\n",
-      "0  0.444444        1.00         0.5\n",
-      "0  0.444444        0.00         1.0\n",
-      "{'sequence': 'I’m in my twenties and will be traveling to Peru for three weeks. I’m going solo but will meet up with a friend to explore the Sacred Valley and take part in a Machu Picchu tour. We plan to hike, go rafting, and explore the remnants of the ancient Inca Empire. We’re also excited to try Peruvian cuisine and immerse ourselves in the local culture. Depending on our plans, we might also visit the rainforest region, such as Tarapoto. I’ll be flying to Peru on a long-haul flight and will be traveling in August.', 'labels': ['cultural exploration', 'micro-adventure / weekend trip', 'nature escape', 'hut trek (summer)', 'digital nomad trip', 'city trip', 'long-distance hike / thru-hike', 'festival trip', 'hut trek (winter)', 'yoga / wellness retreat', 'road trip (car/camper)', 'camping trip (campground)', 'beach vacation', 'ski tour / skitour', 'snowboard / splitboard trip', 'camping trip (wild camping)'], 'scores': [0.46336302161216736, 0.1727677881717682, 0.07163920998573303, 0.0506572462618351, 0.04663144052028656, 0.04209558293223381, 0.031931012868881226, 0.025467030704021454, 0.01593252643942833, 0.014883406460285187, 0.013931799679994583, 0.011312623508274555, 0.010983764193952084, 0.01052050944417715, 0.008977973833680153, 0.008905108086764812]}\n",
-      "cultural exploration\n",
-      "0\n",
-      "{'sequence': 'I’m in my twenties and will be traveling to Peru for three weeks. I’m going solo but will meet up with a friend to explore the Sacred Valley and take part in a Machu Picchu tour. We plan to hike, go rafting, and explore the remnants of the ancient Inca Empire. We’re also excited to try Peruvian cuisine and immerse ourselves in the local culture. Depending on our plans, we might also visit the rainforest region, such as Tarapoto. I’ll be flying to Peru on a long-haul flight and will be traveling in August.', 'labels': ['hiking', 'rafting', 'sightseeing', 'kayaking / canoeing', 'hut-to-hut hiking', 'running', 'photography', 'horseback riding', 'stand-up paddleboarding (SUP)', 'relaxing', 'swimming', 'biking', 'fishing', 'snowshoe hiking', 'rock climbing', 'going to the beach', 'snorkeling', 'yoga', 'surfing', 'cross-country skiing', 'ice climbing', 'paragliding', 'scuba diving', 'skiing', 'ski touring'], 'scores': [0.972043514251709, 0.9528122544288635, 0.8972923159599304, 0.4682398736476898, 0.32698461413383484, 0.32268962264060974, 0.13095048069953918, 0.08518116176128387, 0.0796419307589531, 0.07568981498479843, 0.05600163713097572, 0.055922020226716995, 0.05140833556652069, 0.043697480112314224, 0.03483415022492409, 0.027331499382853508, 0.024191800504922867, 0.01979714259505272, 0.016146888956427574, 0.014535189606249332, 0.013982715085148811, 0.012163450941443443, 0.007916608825325966, 0.006059339735656977, 0.0032862559892237186]}\n",
-      "['hiking', 'rafting', 'sightseeing']\n",
-      "1\n",
-      "{'sequence': 'I’m in my twenties and will be traveling to Peru for three weeks. I’m going solo but will meet up with a friend to explore the Sacred Valley and take part in a Machu Picchu tour. We plan to hike, go rafting, and explore the remnants of the ancient Inca Empire. We’re also excited to try Peruvian cuisine and immerse ourselves in the local culture. Depending on our plans, we might also visit the rainforest region, such as Tarapoto. I’ll be flying to Peru on a long-haul flight and will be traveling in August.', 'labels': ['warm destination / summer', 'variable weather / spring / autumn', 'tropical / humid', 'dry / desert-like', 'cold destination / winter'], 'scores': [0.44384506344795227, 0.2690219581127167, 0.1677556335926056, 0.06238124519586563, 0.056996092200279236]}\n",
-      "warm destination / summer\n",
-      "2\n",
-      "{'sequence': 'I’m in my twenties and will be traveling to Peru for three weeks. I’m going solo but will meet up with a friend to explore the Sacred Valley and take part in a Machu Picchu tour. We plan to hike, go rafting, and explore the remnants of the ancient Inca Empire. We’re also excited to try Peruvian cuisine and immerse ourselves in the local culture. Depending on our plans, we might also visit the rainforest region, such as Tarapoto. I’ll be flying to Peru on a long-haul flight and will be traveling in August.', 'labels': ['minimalist', 'lightweight (but comfortable)', 'luxury (including evening wear)', 'ultralight'], 'scores': [0.3486657440662384, 0.31562066078186035, 0.18116892874240875, 0.1545446217060089]}\n",
-      "minimalist\n",
-      "3\n",
-      "{'sequence': 'I’m in my twenties and will be traveling to Peru for three weeks. I’m going solo but will meet up with a friend to explore the Sacred Valley and take part in a Machu Picchu tour. We plan to hike, go rafting, and explore the remnants of the ancient Inca Empire. We’re also excited to try Peruvian cuisine and immerse ourselves in the local culture. Depending on our plans, we might also visit the rainforest region, such as Tarapoto. I’ll be flying to Peru on a long-haul flight and will be traveling in August.', 'labels': ['casual', 'conservative', 'formal (business trip)'], 'scores': [0.653571605682373, 0.2889733612537384, 0.057454951107501984]}\n",
-      "casual\n",
-      "4\n",
-      "{'sequence': 'I’m in my twenties and will be traveling to Peru for three weeks. I’m going solo but will meet up with a friend to explore the Sacred Valley and take part in a Machu Picchu tour. We plan to hike, go rafting, and explore the remnants of the ancient Inca Empire. We’re also excited to try Peruvian cuisine and immerse ourselves in the local culture. Depending on our plans, we might also visit the rainforest region, such as Tarapoto. I’ll be flying to Peru on a long-haul flight and will be traveling in August.', 'labels': ['huts with half board', 'indoor', 'sleeping in a tent', 'sleeping in a car'], 'scores': [0.46777573227882385, 0.2539612352848053, 0.16836754977703094, 0.10989541560411453]}\n",
-      "huts with half board\n",
-      "5\n",
-      "{'sequence': 'I’m in my twenties and will be traveling to Peru for three weeks. I’m going solo but will meet up with a friend to explore the Sacred Valley and take part in a Machu Picchu tour. We plan to hike, go rafting, and explore the remnants of the ancient Inca Empire. We’re also excited to try Peruvian cuisine and immerse ourselves in the local culture. Depending on our plans, we might also visit the rainforest region, such as Tarapoto. I’ll be flying to Peru on a long-haul flight and will be traveling in August.', 'labels': ['no own vehicle', 'own vehicle'], 'scores': [0.5236685872077942, 0.4763314425945282]}\n",
-      "no own vehicle\n",
-      "6\n",
-      "{'sequence': 'I’m in my twenties and will be traveling to Peru for three weeks. I’m going solo but will meet up with a friend to explore the Sacred Valley and take part in a Machu Picchu tour. We plan to hike, go rafting, and explore the remnants of the ancient Inca Empire. We’re also excited to try Peruvian cuisine and immerse ourselves in the local culture. Depending on our plans, we might also visit the rainforest region, such as Tarapoto. I’ll be flying to Peru on a long-haul flight and will be traveling in August.', 'labels': ['self-supported (bring your own food/cooking)', 'rainy climate', 'off-grid / no electricity', 'high alpine terrain', 'snow and ice', 'pet-friendly', 'avalanche-prone terrain', 'no special conditions', 'child-friendly'], 'scores': [0.39003658294677734, 0.20380789041519165, 0.09472139179706573, 0.08575285971164703, 0.07610892504453659, 0.04846395552158356, 0.03600940853357315, 0.0329112708568573, 0.03218770772218704]}\n",
-      "self-supported (bring your own food/cooking)\n",
-      "7\n",
-      "{'sequence': 'I’m in my twenties and will be traveling to Peru for three weeks. I’m going solo but will meet up with a friend to explore the Sacred Valley and take part in a Machu Picchu tour. We plan to hike, go rafting, and explore the remnants of the ancient Inca Empire. We’re also excited to try Peruvian cuisine and immerse ourselves in the local culture. Depending on our plans, we might also visit the rainforest region, such as Tarapoto. I’ll be flying to Peru on a long-haul flight and will be traveling in August.', 'labels': ['7+ days', '3 days', '6 days', '7 days', '5 days', '4 days', '2 days', '1 day'], 'scores': [0.37269166111946106, 0.15968835353851318, 0.1272405982017517, 0.11949551105499268, 0.09665583074092865, 0.07941259443759918, 0.02776406519114971, 0.0170513316988945]}\n",
-      "7+ days\n",
-      "8\n",
-      "           superclass                                    pred_class  \\\n",
-      "0       activity_type                          cultural exploration   \n",
-      "1          activities                [hiking, rafting, sightseeing]   \n",
-      "2   climate_or_season                     warm destination / summer   \n",
-      "3    style_or_comfort                                    minimalist   \n",
-      "4          dress_code                                        casual   \n",
-      "5       accommodation                          huts with half board   \n",
-      "6      transportation                                no own vehicle   \n",
-      "7  special_conditions  self-supported (bring your own food/cooking)   \n",
-      "8    trip_length_days                                       7+ days   \n",
-      "\n",
-      "                           true_class  \n",
-      "0                cultural exploration  \n",
-      "1      [sightseeing, hiking, rafting]  \n",
-      "2  variable weather / spring / autumn  \n",
-      "3       lightweight (but comfortable)  \n",
-      "4                              casual  \n",
-      "5                              indoor  \n",
-      "6                      no own vehicle  \n",
-      "7                       rainy climate  \n",
-      "8                             7+ days  \n",
-      "   accuracy  true_ident  false_pred\n",
-      "0  0.444444        0.75         0.0\n",
-      "0  0.444444        1.00         0.5\n",
-      "0  0.444444        0.00         1.0\n",
-      "0  0.444444        1.00         0.0\n",
-      "{'sequence': 'We’re planning a 10-day trip to Austria in the summer, combining hiking with relaxation by the lake. We love exploring scenic trails and enjoying the outdoors, but we also want to unwind and swim in the lake. It’s the perfect mix of adventure and relaxation.', 'labels': ['nature escape', 'micro-adventure / weekend trip', 'hut trek (summer)', 'festival trip', 'cultural exploration', 'digital nomad trip', 'road trip (car/camper)', 'city trip', 'beach vacation', 'yoga / wellness retreat', 'long-distance hike / thru-hike', 'camping trip (campground)', 'ski tour / skitour', 'camping trip (wild camping)', 'snowboard / splitboard trip', 'hut trek (winter)'], 'scores': [0.47466129064559937, 0.16936436295509338, 0.05788277089595795, 0.05779806524515152, 0.05607228726148605, 0.046175211668014526, 0.03308841958642006, 0.022494975477457047, 0.016859961673617363, 0.01673378236591816, 0.011891375295817852, 0.010220238007605076, 0.009581994265317917, 0.00800924189388752, 0.005885846447199583, 0.003280133241787553]}\n",
-      "nature escape\n",
-      "0\n",
-      "{'sequence': 'We’re planning a 10-day trip to Austria in the summer, combining hiking with relaxation by the lake. We love exploring scenic trails and enjoying the outdoors, but we also want to unwind and swim in the lake. It’s the perfect mix of adventure and relaxation.', 'labels': ['hiking', 'swimming', 'relaxing', 'hut-to-hut hiking', 'snowshoe hiking', 'photography', 'going to the beach', 'running', 'stand-up paddleboarding (SUP)', 'horseback riding', 'kayaking / canoeing', 'sightseeing', 'snorkeling', 'rafting', 'surfing', 'rock climbing', 'fishing', 'paragliding', 'biking', 'yoga', 'ice climbing', 'scuba diving', 'cross-country skiing', 'ski touring', 'skiing'], 'scores': [0.9834448099136353, 0.9827073216438293, 0.9554252624511719, 0.302951455116272, 0.15803122520446777, 0.07539486140012741, 0.04432662948966026, 0.041922833770513535, 0.037780944257974625, 0.021722102537751198, 0.018872562795877457, 0.015834694728255272, 0.01344585046172142, 0.008506654761731625, 0.008275093510746956, 0.007949848659336567, 0.007900969125330448, 0.006161535624414682, 0.005462693050503731, 0.004551028832793236, 0.004176904447376728, 0.003736245445907116, 0.0031280280090868473, 0.0018006752943620086, 0.0014146548928692937]}\n",
-      "['hiking', 'swimming', 'relaxing']\n",
-      "1\n",
-      "{'sequence': 'We’re planning a 10-day trip to Austria in the summer, combining hiking with relaxation by the lake. We love exploring scenic trails and enjoying the outdoors, but we also want to unwind and swim in the lake. It’s the perfect mix of adventure and relaxation.', 'labels': ['warm destination / summer', 'variable weather / spring / autumn', 'dry / desert-like', 'tropical / humid', 'cold destination / winter'], 'scores': [0.950709342956543, 0.019234782084822655, 0.01766001060605049, 0.009133369661867619, 0.0032624907325953245]}\n",
-      "warm destination / summer\n",
-      "2\n",
-      "{'sequence': 'We’re planning a 10-day trip to Austria in the summer, combining hiking with relaxation by the lake. We love exploring scenic trails and enjoying the outdoors, but we also want to unwind and swim in the lake. It’s the perfect mix of adventure and relaxation.', 'labels': ['luxury (including evening wear)', 'lightweight (but comfortable)', 'ultralight', 'minimalist'], 'scores': [0.3035975396633148, 0.29390522837638855, 0.23362991213798523, 0.16886736452579498]}\n",
-      "luxury (including evening wear)\n",
-      "3\n",
-      "{'sequence': 'We’re planning a 10-day trip to Austria in the summer, combining hiking with relaxation by the lake. We love exploring scenic trails and enjoying the outdoors, but we also want to unwind and swim in the lake. It’s the perfect mix of adventure and relaxation.', 'labels': ['casual', 'conservative', 'formal (business trip)'], 'scores': [0.5692072510719299, 0.3603260815143585, 0.07046671956777573]}\n",
-      "casual\n",
-      "4\n",
-      "{'sequence': 'We’re planning a 10-day trip to Austria in the summer, combining hiking with relaxation by the lake. We love exploring scenic trails and enjoying the outdoors, but we also want to unwind and swim in the lake. It’s the perfect mix of adventure and relaxation.', 'labels': ['huts with half board', 'indoor', 'sleeping in a tent', 'sleeping in a car'], 'scores': [0.5352669954299927, 0.21521903574466705, 0.15747497975826263, 0.09203897416591644]}\n",
-      "huts with half board\n",
-      "5\n",
-      "{'sequence': 'We’re planning a 10-day trip to Austria in the summer, combining hiking with relaxation by the lake. We love exploring scenic trails and enjoying the outdoors, but we also want to unwind and swim in the lake. It’s the perfect mix of adventure and relaxation.', 'labels': ['own vehicle', 'no own vehicle'], 'scores': [0.6760396361351013, 0.3239603638648987]}\n",
-      "own vehicle\n",
-      "6\n",
-      "{'sequence': 'We’re planning a 10-day trip to Austria in the summer, combining hiking with relaxation by the lake. We love exploring scenic trails and enjoying the outdoors, but we also want to unwind and swim in the lake. It’s the perfect mix of adventure and relaxation.', 'labels': ['pet-friendly', 'off-grid / no electricity', 'self-supported (bring your own food/cooking)', 'no special conditions', 'rainy climate', 'child-friendly', 'snow and ice', 'high alpine terrain', 'avalanche-prone terrain'], 'scores': [0.2958301901817322, 0.1270701289176941, 0.11052859574556351, 0.10127398371696472, 0.09833040833473206, 0.09256233274936676, 0.08372248709201813, 0.06674295663833618, 0.023938972502946854]}\n",
-      "pet-friendly\n",
-      "7\n",
-      "{'sequence': 'We’re planning a 10-day trip to Austria in the summer, combining hiking with relaxation by the lake. We love exploring scenic trails and enjoying the outdoors, but we also want to unwind and swim in the lake. It’s the perfect mix of adventure and relaxation.', 'labels': ['7+ days', '1 day', '4 days', '2 days', '6 days', '5 days', '7 days', '3 days'], 'scores': [0.831832766532898, 0.03202304244041443, 0.02475377917289734, 0.024069445207715034, 0.023275017738342285, 0.022024031728506088, 0.021049346774816513, 0.020972533151507378]}\n",
-      "7+ days\n",
-      "8\n",
-      "           superclass                       pred_class  \\\n",
-      "0       activity_type                    nature escape   \n",
-      "1          activities     [hiking, swimming, relaxing]   \n",
-      "2   climate_or_season        warm destination / summer   \n",
-      "3    style_or_comfort  luxury (including evening wear)   \n",
-      "4          dress_code                           casual   \n",
-      "5       accommodation             huts with half board   \n",
-      "6      transportation                      own vehicle   \n",
-      "7  special_conditions                     pet-friendly   \n",
-      "8    trip_length_days                          7+ days   \n",
-      "\n",
-      "                      true_class  \n",
-      "0                  nature escape  \n",
-      "1   [swimming, relaxing, hiking]  \n",
-      "2      warm destination / summer  \n",
-      "3  lightweight (but comfortable)  \n",
-      "4                         casual  \n",
-      "5                         indoor  \n",
-      "6                 no own vehicle  \n",
-      "7          no special conditions  \n",
-      "8                        7+ days  \n",
-      "   accuracy  true_ident  false_pred\n",
-      "0  0.444444        0.75         0.0\n",
-      "0  0.444444        1.00         0.5\n",
-      "0  0.444444        0.00         1.0\n",
-      "0  0.444444        1.00         0.0\n",
-      "0  0.444444        1.00         0.0\n",
-      "{'sequence': 'I am going on a multiple day hike and passing though mountains and the beach in Croatia. I like to pack light and will stay in refugios/huts with half board and travel to the start of the hike by car. It will be 6-7 days.', 'labels': ['nature escape', 'long-distance hike / thru-hike', 'road trip (car/camper)', 'micro-adventure / weekend trip', 'digital nomad trip', 'beach vacation', 'festival trip', 'snowboard / splitboard trip', 'city trip', 'cultural exploration', 'camping trip (wild camping)', 'camping trip (campground)', 'hut trek (summer)', 'ski tour / skitour', 'hut trek (winter)', 'yoga / wellness retreat'], 'scores': [0.2722090780735016, 0.2096298784017563, 0.17115218937397003, 0.11708182096481323, 0.04944751039147377, 0.04696764051914215, 0.028846951201558113, 0.0212775319814682, 0.01632694900035858, 0.015267681330442429, 0.014307969249784946, 0.014053658582270145, 0.0068706972524523735, 0.0060454499907791615, 0.005282019730657339, 0.0052328938618302345]}\n",
-      "nature escape\n",
-      "0\n",
-      "{'sequence': 'I am going on a multiple day hike and passing though mountains and the beach in Croatia. I like to pack light and will stay in refugios/huts with half board and travel to the start of the hike by car. It will be 6-7 days.', 'labels': ['hiking', 'hut-to-hut hiking', 'going to the beach', 'sightseeing', 'snowshoe hiking', 'running', 'photography', 'rock climbing', 'relaxing', 'stand-up paddleboarding (SUP)', 'surfing', 'horseback riding', 'ice climbing', 'yoga', 'swimming', 'snorkeling', 'rafting', 'paragliding', 'fishing', 'biking', 'ski touring', 'cross-country skiing', 'skiing', 'kayaking / canoeing', 'scuba diving'], 'scores': [0.995924174785614, 0.8107315301895142, 0.6704922914505005, 0.09409588575363159, 0.09048515558242798, 0.03622523695230484, 0.026452651247382164, 0.0221311803907156, 0.018599139526486397, 0.015825064852833748, 0.013440313749015331, 0.007497405633330345, 0.00657653110101819, 0.0036618353333324194, 0.002331383991986513, 0.0009992193663492799, 0.0007957113557495177, 0.0006465379847213626, 0.0006223482778295875, 0.0006145680090412498, 0.000583317712880671, 0.0005684427451342344, 0.0004824084462597966, 0.00034976654569618404, 0.0002721030614338815]}\n",
-      "['hiking', 'hut-to-hut hiking', 'going to the beach']\n",
+      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['relaxing', 'hiking', 'going to the beach', 'photography', 'sightseeing', 'hut-to-hut hiking', 'snorkeling', 'snowshoe hiking', 'yoga', 'stand-up paddleboarding (SUP)', 'kayaking / canoeing', 'horseback riding', 'swimming', 'paragliding', 'rafting', 'biking', 'rock climbing', 'surfing', 'running', 'ice climbing', 'cross-country skiing', 'fishing', 'ski touring', 'skiing', 'scuba diving'], 'scores': [0.9943736791610718, 0.9631249308586121, 0.9454535841941833, 0.7538902759552002, 0.4525446593761444, 0.1696157604455948, 0.05957728251814842, 0.04234873503446579, 0.01991761103272438, 0.016971556469798088, 0.006959819234907627, 0.00411367928609252, 0.0030609173700213432, 0.00186573073733598, 0.0017515394138172269, 0.00142807571683079, 0.0005748369731009007, 0.00037779140984639525, 0.0003097739245276898, 0.00030914091621525586, 0.0002725012309383601, 0.00027050732751376927, 0.00024376016517635435, 0.00017392759036738425, 0.00014787293912377208]}\n",
+      "['relaxing', 'hiking', 'going to the beach', 'photography']\n",
       "1\n",
-      "{'sequence': 'I am going on a multiple day hike and passing though mountains and the beach in Croatia. I like to pack light and will stay in refugios/huts with half board and travel to the start of the hike by car. It will be 6-7 days.', 'labels': ['warm destination / summer', 'variable weather / spring / autumn', 'cold destination / winter', 'tropical / humid', 'dry / desert-like'], 'scores': [0.3592403531074524, 0.3246847689151764, 0.12692902982234955, 0.12148210406303406, 0.0676637664437294]}\n",
-      "warm destination / summer\n",
+      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['tropical / humid', 'warm destination / summer', 'variable weather / spring / autumn', 'cold destination / winter', 'dry / desert-like'], 'scores': [0.4895477890968323, 0.25917261838912964, 0.24829530715942383, 0.0017174285603687167, 0.0012668712297454476]}\n",
+      "tropical / humid\n",
       "2\n",
-      "{'sequence': 'I am going on a multiple day hike and passing though mountains and the beach in Croatia. I like to pack light and will stay in refugios/huts with half board and travel to the start of the hike by car. It will be 6-7 days.', 'labels': ['minimalist', 'ultralight', 'lightweight (but comfortable)', 'luxury (including evening wear)'], 'scores': [0.6689043641090393, 0.15979459881782532, 0.15350840985774994, 0.01779269427061081]}\n",
+      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['minimalist', 'luxury (including evening wear)', 'lightweight (but comfortable)', 'ultralight'], 'scores': [0.7574900984764099, 0.09964746236801147, 0.07804173231124878, 0.06482075154781342]}\n",
       "minimalist\n",
       "3\n",
-      "{'sequence': 'I am going on a multiple day hike and passing though mountains and the beach in Croatia. I like to pack light and will stay in refugios/huts with half board and travel to the start of the hike by car. It will be 6-7 days.', 'labels': ['casual', 'conservative', 'formal (business trip)'], 'scores': [0.5058596730232239, 0.4563210606575012, 0.0378192737698555]}\n",
-      "casual\n",
-      "4\n",
-      "{'sequence': 'I am going on a multiple day hike and passing though mountains and the beach in Croatia. I like to pack light and will stay in refugios/huts with half board and travel to the start of the hike by car. It will be 6-7 days.', 'labels': ['huts with half board', 'sleeping in a car', 'indoor', 'sleeping in a tent'], 'scores': [0.9306207895278931, 0.031916361302137375, 0.02436664327979088, 0.01309619378298521]}\n",
-      "huts with half board\n",
-      "5\n",
-      "{'sequence': 'I am going on a multiple day hike and passing though mountains and the beach in Croatia. I like to pack light and will stay in refugios/huts with half board and travel to the start of the hike by car. It will be 6-7 days.', 'labels': ['own vehicle', 'no own vehicle'], 'scores': [0.6466068625450134, 0.35339316725730896]}\n",
-      "own vehicle\n",
-      "6\n",
-      "{'sequence': 'I am going on a multiple day hike and passing though mountains and the beach in Croatia. I like to pack light and will stay in refugios/huts with half board and travel to the start of the hike by car. It will be 6-7 days.', 'labels': ['self-supported (bring your own food/cooking)', 'off-grid / no electricity', 'high alpine terrain', 'pet-friendly', 'rainy climate', 'snow and ice', 'no special conditions', 'child-friendly', 'avalanche-prone terrain'], 'scores': [0.2806045413017273, 0.20554204285144806, 0.15984709560871124, 0.0722210556268692, 0.06746473163366318, 0.06105376034975052, 0.05754203349351883, 0.05304615572094917, 0.04267856478691101]}\n",
-      "self-supported (bring your own food/cooking)\n",
-      "7\n",
-      "{'sequence': 'I am going on a multiple day hike and passing though mountains and the beach in Croatia. I like to pack light and will stay in refugios/huts with half board and travel to the start of the hike by car. It will be 6-7 days.', 'labels': ['7+ days', '6 days', '7 days', '5 days', '1 day', '2 days', '4 days', '3 days'], 'scores': [0.34911271929740906, 0.31416037678718567, 0.25476762652397156, 0.02170025184750557, 0.021649762988090515, 0.014863741584122181, 0.011998875997960567, 0.011746703647077084]}\n",
-      "7+ days\n",
-      "8\n",
-      "           superclass                                       pred_class  \\\n",
-      "0       activity_type                                    nature escape   \n",
-      "1          activities  [hiking, hut-to-hut hiking, going to the beach]   \n",
-      "2   climate_or_season                        warm destination / summer   \n",
-      "3    style_or_comfort                                       minimalist   \n",
-      "4          dress_code                                           casual   \n",
-      "5       accommodation                             huts with half board   \n",
-      "6      transportation                                      own vehicle   \n",
-      "7  special_conditions     self-supported (bring your own food/cooking)   \n",
-      "8    trip_length_days                                          7+ days   \n",
-      "\n",
-      "                       true_class  \n",
-      "0  long-distance hike / thru-hike  \n",
-      "1            [going to the beach]  \n",
-      "2                tropical / humid  \n",
-      "3                      minimalist  \n",
-      "4                          casual  \n",
-      "5            huts with half board  \n",
-      "6                     own vehicle  \n",
-      "7       off-grid / no electricity  \n",
-      "8                          6 days  \n",
-      "   accuracy  true_ident  false_pred\n",
-      "0  0.444444        0.75    0.000000\n",
-      "0  0.444444        1.00    0.500000\n",
-      "0  0.444444        0.00    1.000000\n",
-      "0  0.444444        1.00    0.000000\n",
-      "0  0.444444        1.00    0.000000\n",
-      "0  0.444444        1.00    0.666667\n",
-      "{'sequence': 'I will go with a friend on a beach holiday and we will do stand-up paddling, and surfing in the North of Spain. The destination is windy and can get cold, but is generally sunny. We will go by car and bring a tent to sleep in. It will be two weeks.', 'labels': ['beach vacation', 'road trip (car/camper)', 'nature escape', 'micro-adventure / weekend trip', 'festival trip', 'digital nomad trip', 'cultural exploration', 'city trip', 'camping trip (campground)', 'hut trek (winter)', 'hut trek (summer)', 'long-distance hike / thru-hike', 'yoga / wellness retreat', 'camping trip (wild camping)', 'snowboard / splitboard trip', 'ski tour / skitour'], 'scores': [0.8424649238586426, 0.052122071385383606, 0.045149654150009155, 0.016546053811907768, 0.00966702401638031, 0.007702015805989504, 0.004779668524861336, 0.004560756962746382, 0.0023846791591495275, 0.0023726094514131546, 0.002371410606428981, 0.00234890915453434, 0.0020649293437600136, 0.0020323314238339663, 0.0018846038728952408, 0.0015484279720112681]}\n",
-      "beach vacation\n",
-      "0\n",
-      "{'sequence': 'I will go with a friend on a beach holiday and we will do stand-up paddling, and surfing in the North of Spain. The destination is windy and can get cold, but is generally sunny. We will go by car and bring a tent to sleep in. It will be two weeks.', 'labels': ['going to the beach', 'surfing', 'stand-up paddleboarding (SUP)', 'running', 'kayaking / canoeing', 'relaxing', 'swimming', 'photography', 'sightseeing', 'rafting', 'hut-to-hut hiking', 'yoga', 'fishing', 'hiking', 'biking', 'horseback riding', 'snorkeling', 'skiing', 'rock climbing', 'paragliding', 'ice climbing', 'snowshoe hiking', 'ski touring', 'scuba diving', 'cross-country skiing'], 'scores': [0.9920135736465454, 0.9526715278625488, 0.9424984455108643, 0.19494973123073578, 0.02892795391380787, 0.011631068773567677, 0.004414754454046488, 0.0006122476770542562, 0.0005591650260612369, 0.00039036732050590217, 0.0002494072250556201, 0.0002450320462230593, 0.0002269407268613577, 0.000170115425135009, 0.00014811556320637465, 0.00010454187577124685, 0.00010332300735171884, 9.331753244623542e-05, 8.935244841268286e-05, 8.883540431270376e-05, 8.413659816142172e-05, 8.254400745499879e-05, 7.817314326530322e-05, 7.580930832773447e-05, 6.3187864725478e-05]}\n",
-      "['going to the beach', 'surfing', 'stand-up paddleboarding (SUP)']\n",
-      "1\n",
-      "{'sequence': 'I will go with a friend on a beach holiday and we will do stand-up paddling, and surfing in the North of Spain. The destination is windy and can get cold, but is generally sunny. We will go by car and bring a tent to sleep in. It will be two weeks.', 'labels': ['variable weather / spring / autumn', 'cold destination / winter', 'warm destination / summer', 'tropical / humid', 'dry / desert-like'], 'scores': [0.6218664050102234, 0.14698372781276703, 0.13569146394729614, 0.0680992528796196, 0.027359161525964737]}\n",
-      "variable weather / spring / autumn\n",
-      "2\n",
-      "{'sequence': 'I will go with a friend on a beach holiday and we will do stand-up paddling, and surfing in the North of Spain. The destination is windy and can get cold, but is generally sunny. We will go by car and bring a tent to sleep in. It will be two weeks.', 'labels': ['ultralight', 'lightweight (but comfortable)', 'minimalist', 'luxury (including evening wear)'], 'scores': [0.530884325504303, 0.24740535020828247, 0.1111086905002594, 0.11060160398483276]}\n",
-      "ultralight\n",
-      "3\n",
-      "{'sequence': 'I will go with a friend on a beach holiday and we will do stand-up paddling, and surfing in the North of Spain. The destination is windy and can get cold, but is generally sunny. We will go by car and bring a tent to sleep in. It will be two weeks.', 'labels': ['casual', 'conservative', 'formal (business trip)'], 'scores': [0.5781950354576111, 0.35012683272361755, 0.07167812436819077]}\n",
+      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['casual', 'conservative', 'formal (business trip)'], 'scores': [0.8163393139839172, 0.11898067593574524, 0.06467998772859573]}\n",
       "casual\n",
       "4\n",
-      "{'sequence': 'I will go with a friend on a beach holiday and we will do stand-up paddling, and surfing in the North of Spain. The destination is windy and can get cold, but is generally sunny. We will go by car and bring a tent to sleep in. It will be two weeks.', 'labels': ['sleeping in a tent', 'sleeping in a car', 'huts with half board', 'indoor'], 'scores': [0.8374345898628235, 0.14991936087608337, 0.008760198019444942, 0.0038858656771481037]}\n",
-      "sleeping in a tent\n",
-      "5\n",
-      "{'sequence': 'I will go with a friend on a beach holiday and we will do stand-up paddling, and surfing in the North of Spain. The destination is windy and can get cold, but is generally sunny. We will go by car and bring a tent to sleep in. It will be two weeks.', 'labels': ['own vehicle', 'no own vehicle'], 'scores': [0.8027002811431885, 0.19729973375797272]}\n",
-      "own vehicle\n",
-      "6\n",
-      "{'sequence': 'I will go with a friend on a beach holiday and we will do stand-up paddling, and surfing in the North of Spain. The destination is windy and can get cold, but is generally sunny. We will go by car and bring a tent to sleep in. It will be two weeks.', 'labels': ['self-supported (bring your own food/cooking)', 'off-grid / no electricity', 'no special conditions', 'pet-friendly', 'child-friendly', 'rainy climate', 'snow and ice', 'high alpine terrain', 'avalanche-prone terrain'], 'scores': [0.2636737525463104, 0.18892917037010193, 0.1361442506313324, 0.13264372944831848, 0.09250619262456894, 0.07673879712820053, 0.04546836018562317, 0.04477165639400482, 0.019124098122119904]}\n",
-      "self-supported (bring your own food/cooking)\n",
-      "7\n",
-      "{'sequence': 'I will go with a friend on a beach holiday and we will do stand-up paddling, and surfing in the North of Spain. The destination is windy and can get cold, but is generally sunny. We will go by car and bring a tent to sleep in. It will be two weeks.', 'labels': ['7+ days', '6 days', '7 days', '5 days', '4 days', '2 days', '3 days', '1 day'], 'scores': [0.38457050919532776, 0.1673465073108673, 0.14360207319259644, 0.11416381597518921, 0.06863638758659363, 0.0520939901471138, 0.046323563903570175, 0.0232631154358387]}\n",
-      "7+ days\n",
-      "8\n",
-      "           superclass                                         pred_class  \\\n",
-      "0       activity_type                                     beach vacation   \n",
-      "1          activities  [going to the beach, surfing, stand-up paddleb...   \n",
-      "2   climate_or_season                 variable weather / spring / autumn   \n",
-      "3    style_or_comfort                                         ultralight   \n",
-      "4          dress_code                                             casual   \n",
-      "5       accommodation                                 sleeping in a tent   \n",
-      "6      transportation                                        own vehicle   \n",
-      "7  special_conditions       self-supported (bring your own food/cooking)   \n",
-      "8    trip_length_days                                            7+ days   \n",
-      "\n",
-      "                                 true_class  \n",
-      "0                            beach vacation  \n",
-      "1  [stand-up paddleboarding (SUP), surfing]  \n",
-      "2                 cold destination / winter  \n",
-      "3                                ultralight  \n",
-      "4                                    casual  \n",
-      "5                        sleeping in a tent  \n",
-      "6                               own vehicle  \n",
-      "7                 off-grid / no electricity  \n",
-      "8                                    6 days  \n",
-      "   accuracy  true_ident  false_pred\n",
-      "0  0.444444        0.75    0.000000\n",
-      "0  0.444444        1.00    0.500000\n",
-      "0  0.444444        0.00    1.000000\n",
-      "0  0.444444        1.00    0.000000\n",
-      "0  0.444444        1.00    0.000000\n",
-      "0  0.444444        1.00    0.666667\n",
-      "0  0.555556        1.00    0.333333\n",
-      "{'sequence': 'We will go to Sweden in the winter, to go for a yoga and sauna/wellness retreat. I prefer lightweight packing and also want clothes to go for fancy dinners and maybe on a winter hike. We stay in hotels.', 'labels': ['yoga / wellness retreat', 'nature escape', 'micro-adventure / weekend trip', 'cultural exploration', 'digital nomad trip', 'festival trip', 'city trip', 'hut trek (winter)', 'road trip (car/camper)', 'beach vacation', 'ski tour / skitour', 'long-distance hike / thru-hike', 'camping trip (campground)', 'camping trip (wild camping)', 'snowboard / splitboard trip', 'hut trek (summer)'], 'scores': [0.74217689037323, 0.09625624120235443, 0.055444952100515366, 0.028388148173689842, 0.02349301613867283, 0.012203863821923733, 0.009713404811918736, 0.006852505728602409, 0.004789318423718214, 0.004382884595543146, 0.003765304572880268, 0.003622791962698102, 0.002603724831715226, 0.0023082902189344168, 0.0022947373799979687, 0.0017039375379681587]}\n",
-      "yoga / wellness retreat\n",
-      "0\n",
-      "{'sequence': 'We will go to Sweden in the winter, to go for a yoga and sauna/wellness retreat. I prefer lightweight packing and also want clothes to go for fancy dinners and maybe on a winter hike. We stay in hotels.', 'labels': ['yoga', 'hiking', 'relaxing', 'snowshoe hiking', 'hut-to-hut hiking', 'ice climbing', 'rock climbing', 'horseback riding', 'swimming', 'running', 'sightseeing', 'stand-up paddleboarding (SUP)', 'going to the beach', 'photography', 'snorkeling', 'cross-country skiing', 'biking', 'ski touring', 'surfing', 'fishing', 'skiing', 'kayaking / canoeing', 'paragliding', 'scuba diving', 'rafting'], 'scores': [0.8492046594619751, 0.6415605545043945, 0.48942187428474426, 0.15107616782188416, 0.022720757871866226, 0.005493790376931429, 0.004362862557172775, 0.0035604359582066536, 0.0025915896985679865, 0.0024332485627382994, 0.0021809833124279976, 0.0019110202556475997, 0.0011951607884839177, 0.0010689860209822655, 0.001003915793262422, 0.0008895954233594239, 0.0007194960489869118, 0.000655113544780761, 0.000601101026404649, 0.0004903521039523184, 0.0004634983488358557, 0.0003716421779245138, 0.0003238141362089664, 0.0003046975762117654, 0.0002747876278590411]}\n",
-      "['yoga', 'hiking']\n",
-      "1\n",
-      "{'sequence': 'We will go to Sweden in the winter, to go for a yoga and sauna/wellness retreat. I prefer lightweight packing and also want clothes to go for fancy dinners and maybe on a winter hike. We stay in hotels.', 'labels': ['cold destination / winter', 'variable weather / spring / autumn', 'warm destination / summer', 'tropical / humid', 'dry / desert-like'], 'scores': [0.9471889138221741, 0.021895499899983406, 0.012388203293085098, 0.009448436088860035, 0.00907894503325224]}\n",
-      "cold destination / winter\n",
-      "2\n",
-      "{'sequence': 'We will go to Sweden in the winter, to go for a yoga and sauna/wellness retreat. I prefer lightweight packing and also want clothes to go for fancy dinners and maybe on a winter hike. We stay in hotels.', 'labels': ['luxury (including evening wear)', 'minimalist', 'ultralight', 'lightweight (but comfortable)'], 'scores': [0.3255053162574768, 0.22910459339618683, 0.22417910397052765, 0.2212110310792923]}\n",
-      "luxury (including evening wear)\n",
-      "3\n",
-      "{'sequence': 'We will go to Sweden in the winter, to go for a yoga and sauna/wellness retreat. I prefer lightweight packing and also want clothes to go for fancy dinners and maybe on a winter hike. We stay in hotels.', 'labels': ['casual', 'conservative', 'formal (business trip)'], 'scores': [0.642772376537323, 0.3136065900325775, 0.04362105205655098]}\n",
-      "casual\n",
-      "4\n",
-      "{'sequence': 'We will go to Sweden in the winter, to go for a yoga and sauna/wellness retreat. I prefer lightweight packing and also want clothes to go for fancy dinners and maybe on a winter hike. We stay in hotels.', 'labels': ['indoor', 'huts with half board', 'sleeping in a car', 'sleeping in a tent'], 'scores': [0.45050886273384094, 0.3199365735054016, 0.13311396539211273, 0.0964406430721283]}\n",
+      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['indoor', 'huts with half board', 'sleeping in a car', 'sleeping in a tent'], 'scores': [0.6389047503471375, 0.18624886870384216, 0.13902997970581055, 0.03581654652953148]}\n",
       "indoor\n",
       "5\n",
-      "{'sequence': 'We will go to Sweden in the winter, to go for a yoga and sauna/wellness retreat. I prefer lightweight packing and also want clothes to go for fancy dinners and maybe on a winter hike. We stay in hotels.', 'labels': ['no own vehicle', 'own vehicle'], 'scores': [0.5682496428489685, 0.4317503571510315]}\n",
-      "no own vehicle\n",
-      "6\n",
-      "{'sequence': 'We will go to Sweden in the winter, to go for a yoga and sauna/wellness retreat. I prefer lightweight packing and also want clothes to go for fancy dinners and maybe on a winter hike. We stay in hotels.', 'labels': ['pet-friendly', 'snow and ice', 'off-grid / no electricity', 'self-supported (bring your own food/cooking)', 'child-friendly', 'rainy climate', 'high alpine terrain', 'no special conditions', 'avalanche-prone terrain'], 'scores': [0.20113274455070496, 0.18143297731876373, 0.1281966269016266, 0.12688273191452026, 0.10568756610155106, 0.09556522965431213, 0.07762978971004486, 0.06777562201023102, 0.015696685761213303]}\n",
-      "pet-friendly\n",
-      "7\n",
-      "{'sequence': 'We will go to Sweden in the winter, to go for a yoga and sauna/wellness retreat. I prefer lightweight packing and also want clothes to go for fancy dinners and maybe on a winter hike. We stay in hotels.', 'labels': ['7+ days', '7 days', '6 days', '4 days', '5 days', '1 day', '3 days', '2 days'], 'scores': [0.19246383011341095, 0.12628361582756042, 0.12603610754013062, 0.11952764540910721, 0.11401552706956863, 0.1101016104221344, 0.10996993631124496, 0.10160179436206818]}\n",
-      "7+ days\n",
-      "8\n",
-      "           superclass                       pred_class  \\\n",
-      "0       activity_type          yoga / wellness retreat   \n",
-      "1          activities                   [yoga, hiking]   \n",
-      "2   climate_or_season        cold destination / winter   \n",
-      "3    style_or_comfort  luxury (including evening wear)   \n",
-      "4          dress_code                           casual   \n",
-      "5       accommodation                           indoor   \n",
-      "6      transportation                   no own vehicle   \n",
-      "7  special_conditions                     pet-friendly   \n",
-      "8    trip_length_days                          7+ days   \n",
-      "\n",
-      "                      true_class  \n",
-      "0        yoga / wellness retreat  \n",
-      "1      [hut-to-hut hiking, yoga]  \n",
-      "2      cold destination / winter  \n",
-      "3  lightweight (but comfortable)  \n",
-      "4         formal (business trip)  \n",
-      "5             sleeping in a tent  \n",
-      "6                 no own vehicle  \n",
-      "7        avalanche-prone terrain  \n",
-      "8                         7 days  \n",
-      "   accuracy  true_ident  false_pred\n",
-      "0  0.444444        0.75    0.000000\n",
-      "0  0.444444        1.00    0.500000\n",
-      "0  0.444444        0.00    1.000000\n",
-      "0  0.444444        1.00    0.000000\n",
-      "0  0.444444        1.00    0.000000\n",
-      "0  0.444444        1.00    0.666667\n",
-      "0  0.555556        1.00    0.333333\n",
-      "0  0.333333        0.50    0.500000\n",
-      "{'sequence': 'I go on a skitouring trip where we also make videos/photos and the destination is Japan. Mainly sports clothes and isolation are needed (it is winter). We stay in a guesthouse. It will be 10 days.', 'labels': ['ski tour / skitour', 'digital nomad trip', 'micro-adventure / weekend trip', 'hut trek (winter)', 'nature escape', 'snowboard / splitboard trip', 'cultural exploration', 'road trip (car/camper)', 'city trip', 'festival trip', 'long-distance hike / thru-hike', 'yoga / wellness retreat', 'beach vacation', 'camping trip (campground)', 'hut trek (summer)', 'camping trip (wild camping)'], 'scores': [0.6277877688407898, 0.10147693753242493, 0.08032911270856857, 0.049313176423311234, 0.03282054141163826, 0.023940999060869217, 0.019064947962760925, 0.016684003174304962, 0.013051704503595829, 0.0089231813326478, 0.0070185353979468346, 0.005841666366904974, 0.004441345110535622, 0.003346299286931753, 0.0030660738702863455, 0.0028937174938619137]}\n",
-      "ski tour / skitour\n",
-      "0\n",
-      "{'sequence': 'I go on a skitouring trip where we also make videos/photos and the destination is Japan. Mainly sports clothes and isolation are needed (it is winter). We stay in a guesthouse. It will be 10 days.', 'labels': ['ski touring', 'skiing', 'cross-country skiing', 'stand-up paddleboarding (SUP)', 'surfing', 'running', 'photography', 'swimming', 'relaxing', 'snowshoe hiking', 'horseback riding', 'ice climbing', 'biking', 'rock climbing', 'kayaking / canoeing', 'fishing', 'hut-to-hut hiking', 'sightseeing', 'snorkeling', 'going to the beach', 'hiking', 'yoga', 'paragliding', 'scuba diving', 'rafting'], 'scores': [0.9693604111671448, 0.8987270593643188, 0.3836323022842407, 0.0930146872997284, 0.0707859992980957, 0.0568058155477047, 0.054869573563337326, 0.04586975648999214, 0.04119567945599556, 0.0407184436917305, 0.03190801665186882, 0.025626182556152344, 0.01811041496694088, 0.01370724942535162, 0.013295331038534641, 0.012912402860820293, 0.010964828543365002, 0.009949550963938236, 0.00915785226970911, 0.006088017951697111, 0.005409067030996084, 0.004837491549551487, 0.0037431824021041393, 0.003286615712568164, 0.0006043871399015188]}\n",
-      "['ski touring', 'skiing']\n",
-      "1\n",
-      "{'sequence': 'I go on a skitouring trip where we also make videos/photos and the destination is Japan. Mainly sports clothes and isolation are needed (it is winter). We stay in a guesthouse. It will be 10 days.', 'labels': ['cold destination / winter', 'dry / desert-like', 'variable weather / spring / autumn', 'warm destination / summer', 'tropical / humid'], 'scores': [0.990604817867279, 0.004373250529170036, 0.0024099540896713734, 0.0017728792736306787, 0.0008389907306991518]}\n",
-      "cold destination / winter\n",
-      "2\n",
-      "{'sequence': 'I go on a skitouring trip where we also make videos/photos and the destination is Japan. Mainly sports clothes and isolation are needed (it is winter). We stay in a guesthouse. It will be 10 days.', 'labels': ['minimalist', 'lightweight (but comfortable)', 'ultralight', 'luxury (including evening wear)'], 'scores': [0.39435455203056335, 0.29837822914123535, 0.26335230469703674, 0.04391491040587425]}\n",
-      "minimalist\n",
-      "3\n",
-      "{'sequence': 'I go on a skitouring trip where we also make videos/photos and the destination is Japan. Mainly sports clothes and isolation are needed (it is winter). We stay in a guesthouse. It will be 10 days.', 'labels': ['conservative', 'casual', 'formal (business trip)'], 'scores': [0.4866763949394226, 0.45126742124557495, 0.06205620989203453]}\n",
-      "conservative\n",
-      "4\n",
-      "{'sequence': 'I go on a skitouring trip where we also make videos/photos and the destination is Japan. Mainly sports clothes and isolation are needed (it is winter). We stay in a guesthouse. It will be 10 days.', 'labels': ['huts with half board', 'indoor', 'sleeping in a car', 'sleeping in a tent'], 'scores': [0.4471704363822937, 0.4278737008571625, 0.06446021795272827, 0.06049559265375137]}\n",
-      "huts with half board\n",
-      "5\n",
-      "{'sequence': 'I go on a skitouring trip where we also make videos/photos and the destination is Japan. Mainly sports clothes and isolation are needed (it is winter). We stay in a guesthouse. It will be 10 days.', 'labels': ['no own vehicle', 'own vehicle'], 'scores': [0.757366418838501, 0.24263359606266022]}\n",
+      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['no own vehicle', 'own vehicle'], 'scores': [0.9990958571434021, 0.0009041387238539755]}\n",
       "no own vehicle\n",
-      "6\n",
-      "{'sequence': 'I go on a skitouring trip where we also make videos/photos and the destination is Japan. Mainly sports clothes and isolation are needed (it is winter). We stay in a guesthouse. It will be 10 days.', 'labels': ['high alpine terrain', 'snow and ice', 'off-grid / no electricity', 'self-supported (bring your own food/cooking)', 'rainy climate', 'child-friendly', 'pet-friendly', 'no special conditions', 'avalanche-prone terrain'], 'scores': [0.2215374857187271, 0.20641450583934784, 0.1480192095041275, 0.1283065527677536, 0.087259441614151, 0.06202260032296181, 0.04981611296534538, 0.04899971932172775, 0.04762434586882591]}\n",
-      "high alpine terrain\n",
-      "7\n",
-      "{'sequence': 'I go on a skitouring trip where we also make videos/photos and the destination is Japan. Mainly sports clothes and isolation are needed (it is winter). We stay in a guesthouse. It will be 10 days.', 'labels': ['7+ days', '6 days', '7 days', '4 days', '5 days', '3 days', '2 days', '1 day'], 'scores': [0.7842941284179688, 0.03461426496505737, 0.03410837799310684, 0.0328315868973732, 0.03218388929963112, 0.029369475319981575, 0.02771950326859951, 0.024878760799765587]}\n",
-      "7+ days\n",
-      "8\n",
-      "           superclass                 pred_class  \\\n",
-      "0       activity_type         ski tour / skitour   \n",
-      "1          activities      [ski touring, skiing]   \n",
-      "2   climate_or_season  cold destination / winter   \n",
-      "3    style_or_comfort                 minimalist   \n",
-      "4          dress_code               conservative   \n",
-      "5       accommodation       huts with half board   \n",
-      "6      transportation             no own vehicle   \n",
-      "7  special_conditions        high alpine terrain   \n",
-      "8    trip_length_days                    7+ days   \n",
-      "\n",
-      "                             true_class  \n",
-      "0                    ski tour / skitour  \n",
-      "1  [ski touring, photography, swimming]  \n",
-      "2             cold destination / winter  \n",
-      "3                            minimalist  \n",
-      "4                          conservative  \n",
-      "5                                indoor  \n",
-      "6                        no own vehicle  \n",
-      "7               avalanche-prone terrain  \n",
-      "8                                5 days  \n",
-      "   accuracy  true_ident  false_pred\n",
-      "0  0.444444    0.750000    0.000000\n",
-      "0  0.444444    1.000000    0.500000\n",
-      "0  0.444444    0.000000    1.000000\n",
-      "0  0.444444    1.000000    0.000000\n",
-      "0  0.444444    1.000000    0.000000\n",
-      "0  0.444444    1.000000    0.666667\n",
-      "0  0.555556    1.000000    0.333333\n",
-      "0  0.333333    0.500000    0.500000\n",
-      "0  0.555556    0.333333    0.500000\n",
-      "{'sequence': 'We plan a wild camping trip with activities such as snorkeling, kayaking and canoeing. It is a warm place and we want to bring little stuff. We stay in tents and hammocks and travel with a car, it will be 3 days.', 'labels': ['camping trip (wild camping)', 'micro-adventure / weekend trip', 'nature escape', 'road trip (car/camper)', 'camping trip (campground)', 'cultural exploration', 'digital nomad trip', 'beach vacation', 'festival trip', 'hut trek (summer)', 'city trip', 'long-distance hike / thru-hike', 'hut trek (winter)', 'ski tour / skitour', 'yoga / wellness retreat', 'snowboard / splitboard trip'], 'scores': [0.5653408169746399, 0.16596493124961853, 0.1550244241952896, 0.06219211965799332, 0.02012023888528347, 0.006907567847520113, 0.00554176140576601, 0.0039147986099123955, 0.0036774182226508856, 0.0029754680581390858, 0.0022333606611937284, 0.0013145286357030272, 0.001251422567293048, 0.0012501205783337355, 0.0011948166647925973, 0.0010962533997371793]}\n",
-      "camping trip (wild camping)\n",
-      "0\n",
-      "{'sequence': 'We plan a wild camping trip with activities such as snorkeling, kayaking and canoeing. It is a warm place and we want to bring little stuff. We stay in tents and hammocks and travel with a car, it will be 3 days.', 'labels': ['kayaking / canoeing', 'snorkeling', 'swimming', 'running', 'going to the beach', 'relaxing', 'rafting', 'stand-up paddleboarding (SUP)', 'fishing', 'scuba diving', 'sightseeing', 'photography', 'surfing', 'hut-to-hut hiking', 'hiking', 'yoga', 'biking', 'rock climbing', 'horseback riding', 'ice climbing', 'snowshoe hiking', 'paragliding', 'cross-country skiing', 'ski touring', 'skiing'], 'scores': [0.9741191864013672, 0.8313708305358887, 0.08023631572723389, 0.0619945228099823, 0.04943564161658287, 0.02998538129031658, 0.00321459979750216, 0.0028121459763497114, 0.0021254396997392178, 0.00206172838807106, 0.0018922867020592093, 0.001279529882594943, 0.0009366609156131744, 0.0009194213780574501, 0.000556303421035409, 0.0005088432226330042, 0.00025728336186148226, 0.00025180858210660517, 0.00023011150187812746, 0.00019034721481148154, 0.00019007424998562783, 0.00017735426081344485, 0.00017349272093269974, 0.00017041667888406664, 0.0001519768702564761]}\n",
-      "['kayaking / canoeing', 'snorkeling']\n",
-      "1\n",
-      "{'sequence': 'We plan a wild camping trip with activities such as snorkeling, kayaking and canoeing. It is a warm place and we want to bring little stuff. We stay in tents and hammocks and travel with a car, it will be 3 days.', 'labels': ['warm destination / summer', 'tropical / humid', 'variable weather / spring / autumn', 'cold destination / winter', 'dry / desert-like'], 'scores': [0.5092107057571411, 0.40236932039260864, 0.07266531139612198, 0.008410264737904072, 0.007344490382820368]}\n",
-      "warm destination / summer\n",
-      "2\n",
-      "{'sequence': 'We plan a wild camping trip with activities such as snorkeling, kayaking and canoeing. It is a warm place and we want to bring little stuff. We stay in tents and hammocks and travel with a car, it will be 3 days.', 'labels': ['minimalist', 'ultralight', 'lightweight (but comfortable)', 'luxury (including evening wear)'], 'scores': [0.6200836896896362, 0.20289665460586548, 0.1540537029504776, 0.022965911775827408]}\n",
-      "minimalist\n",
-      "3\n",
-      "{'sequence': 'We plan a wild camping trip with activities such as snorkeling, kayaking and canoeing. It is a warm place and we want to bring little stuff. We stay in tents and hammocks and travel with a car, it will be 3 days.', 'labels': ['casual', 'conservative', 'formal (business trip)'], 'scores': [0.7067448496818542, 0.2135496884584427, 0.07970546931028366]}\n",
-      "casual\n",
-      "4\n",
-      "{'sequence': 'We plan a wild camping trip with activities such as snorkeling, kayaking and canoeing. It is a warm place and we want to bring little stuff. We stay in tents and hammocks and travel with a car, it will be 3 days.', 'labels': ['sleeping in a tent', 'sleeping in a car', 'huts with half board', 'indoor'], 'scores': [0.7308037281036377, 0.18550406396389008, 0.054551079869270325, 0.0291411355137825]}\n",
-      "sleeping in a tent\n",
-      "5\n",
-      "{'sequence': 'We plan a wild camping trip with activities such as snorkeling, kayaking and canoeing. It is a warm place and we want to bring little stuff. We stay in tents and hammocks and travel with a car, it will be 3 days.', 'labels': ['own vehicle', 'no own vehicle'], 'scores': [0.8557865619659424, 0.14421340823173523]}\n",
-      "own vehicle\n",
-      "6\n",
-      "{'sequence': 'We plan a wild camping trip with activities such as snorkeling, kayaking and canoeing. It is a warm place and we want to bring little stuff. We stay in tents and hammocks and travel with a car, it will be 3 days.', 'labels': ['self-supported (bring your own food/cooking)', 'off-grid / no electricity', 'pet-friendly', 'no special conditions', 'child-friendly', 'high alpine terrain', 'rainy climate', 'snow and ice', 'avalanche-prone terrain'], 'scores': [0.4884524345397949, 0.10804614424705505, 0.10726279765367508, 0.08764053136110306, 0.08023235946893692, 0.04013073816895485, 0.038666050881147385, 0.0337497815489769, 0.01581917703151703]}\n",
-      "self-supported (bring your own food/cooking)\n",
-      "7\n",
-      "{'sequence': 'We plan a wild camping trip with activities such as snorkeling, kayaking and canoeing. It is a warm place and we want to bring little stuff. We stay in tents and hammocks and travel with a car, it will be 3 days.', 'labels': ['3 days', '4 days', '1 day', '2 days', '5 days', '6 days', '7 days', '7+ days'], 'scores': [0.9294797778129578, 0.01445760764181614, 0.012593325227499008, 0.010713724419474602, 0.00934701506048441, 0.008914248086512089, 0.008393170312047005, 0.0061011724174022675]}\n",
-      "3 days\n",
-      "8\n",
-      "           superclass                                    pred_class  \\\n",
-      "0       activity_type                   camping trip (wild camping)   \n",
-      "1          activities             [kayaking / canoeing, snorkeling]   \n",
-      "2   climate_or_season                     warm destination / summer   \n",
-      "3    style_or_comfort                                    minimalist   \n",
-      "4          dress_code                                        casual   \n",
-      "5       accommodation                            sleeping in a tent   \n",
-      "6      transportation                                   own vehicle   \n",
-      "7  special_conditions  self-supported (bring your own food/cooking)   \n",
-      "8    trip_length_days                                        3 days   \n",
-      "\n",
-      "                            true_class  \n",
-      "0          camping trip (wild camping)  \n",
-      "1  [scuba diving, kayaking / canoeing]  \n",
-      "2                     tropical / humid  \n",
-      "3        lightweight (but comfortable)  \n",
-      "4                         conservative  \n",
-      "5                   sleeping in a tent  \n",
-      "6                          own vehicle  \n",
-      "7                no special conditions  \n",
-      "8                               3 days  \n",
-      "   accuracy  true_ident  false_pred\n",
-      "0  0.444444    0.750000    0.000000\n",
-      "0  0.444444    1.000000    0.500000\n",
-      "0  0.444444    0.000000    1.000000\n",
-      "0  0.444444    1.000000    0.000000\n",
-      "0  0.444444    1.000000    0.000000\n",
-      "0  0.444444    1.000000    0.666667\n",
-      "0  0.555556    1.000000    0.333333\n",
-      "0  0.333333    0.500000    0.500000\n",
-      "0  0.555556    0.333333    0.500000\n",
-      "0  0.444444    0.500000    0.500000\n"
+      "6\n"
+     ]
+    },
+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[39], line 7\u001b[0m\n\u001b[1;32m      5\u001b[0m current_trip \u001b[38;5;241m=\u001b[39m trip_descriptions[i]\n\u001b[1;32m      6\u001b[0m current_type \u001b[38;5;241m=\u001b[39m trip_types[i]\n\u001b[0;32m----> 7\u001b[0m df \u001b[38;5;241m=\u001b[39m \u001b[43mpred_trip\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcurrent_trip\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcurrent_type\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcut_off\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m0.5\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m      8\u001b[0m \u001b[38;5;28mprint\u001b[39m(df)\n\u001b[1;32m     10\u001b[0m \u001b[38;5;66;03m# accuracy, perc true classes identified and perc wrong pred classes\u001b[39;00m\n",
+      "Cell \u001b[0;32mIn[37], line 14\u001b[0m, in \u001b[0;36mpred_trip\u001b[0;34m(trip_descr, trip_type, cut_off)\u001b[0m\n\u001b[1;32m     12\u001b[0m     classes \u001b[38;5;241m=\u001b[39m [result[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlabels\u001b[39m\u001b[38;5;124m'\u001b[39m][i] \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m indices]\n\u001b[1;32m     13\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m---> 14\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[43mclassifier\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtrip_descr\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcandidate_labels\u001b[49m\u001b[43m[\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     15\u001b[0m     classes \u001b[38;5;241m=\u001b[39m result[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlabels\u001b[39m\u001b[38;5;124m\"\u001b[39m][\u001b[38;5;241m0\u001b[39m]\n\u001b[1;32m     16\u001b[0m \u001b[38;5;28mprint\u001b[39m(result)\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/transformers/pipelines/zero_shot_classification.py:206\u001b[0m, in \u001b[0;36mZeroShotClassificationPipeline.__call__\u001b[0;34m(self, sequences, *args, **kwargs)\u001b[0m\n\u001b[1;32m    203\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    204\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUnable to understand extra arguments \u001b[39m\u001b[38;5;132;01m{\u001b[39;00margs\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 206\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__call__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43msequences\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/transformers/pipelines/base.py:1294\u001b[0m, in \u001b[0;36mPipeline.__call__\u001b[0;34m(self, inputs, num_workers, batch_size, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1292\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39miterate(inputs, preprocess_params, forward_params, postprocess_params)\n\u001b[1;32m   1293\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mframework \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpt\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(\u001b[38;5;28mself\u001b[39m, ChunkPipeline):\n\u001b[0;32m-> 1294\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1295\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;28;43miter\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1296\u001b[0m \u001b[43m            \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_iterator\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1297\u001b[0m \u001b[43m                \u001b[49m\u001b[43m[\u001b[49m\u001b[43minputs\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnum_workers\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbatch_size\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpreprocess_params\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mforward_params\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpostprocess_params\u001b[49m\n\u001b[1;32m   1298\u001b[0m \u001b[43m            \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1299\u001b[0m \u001b[43m        \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1300\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1301\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   1302\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrun_single(inputs, preprocess_params, forward_params, postprocess_params)\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/transformers/pipelines/pt_utils.py:124\u001b[0m, in \u001b[0;36mPipelineIterator.__next__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    121\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mloader_batch_item()\n\u001b[1;32m    123\u001b[0m \u001b[38;5;66;03m# We're out of items within a batch\u001b[39;00m\n\u001b[0;32m--> 124\u001b[0m item \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43miterator\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    125\u001b[0m processed \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minfer(item, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mparams)\n\u001b[1;32m    126\u001b[0m \u001b[38;5;66;03m# We now have a batch of \"inferred things\".\u001b[39;00m\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/transformers/pipelines/pt_utils.py:269\u001b[0m, in \u001b[0;36mPipelinePackIterator.__next__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    266\u001b[0m             \u001b[38;5;28;01mreturn\u001b[39;00m accumulator\n\u001b[1;32m    268\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_last:\n\u001b[0;32m--> 269\u001b[0m     processed \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minfer\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43miterator\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mparams\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    270\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mloader_batch_size \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    271\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(processed, torch\u001b[38;5;241m.\u001b[39mTensor):\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/transformers/pipelines/base.py:1209\u001b[0m, in \u001b[0;36mPipeline.forward\u001b[0;34m(self, model_inputs, **forward_params)\u001b[0m\n\u001b[1;32m   1207\u001b[0m     \u001b[38;5;28;01mwith\u001b[39;00m inference_context():\n\u001b[1;32m   1208\u001b[0m         model_inputs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_ensure_tensor_on_device(model_inputs, device\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdevice)\n\u001b[0;32m-> 1209\u001b[0m         model_outputs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_forward\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel_inputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mforward_params\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1210\u001b[0m         model_outputs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_ensure_tensor_on_device(model_outputs, device\u001b[38;5;241m=\u001b[39mtorch\u001b[38;5;241m.\u001b[39mdevice(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcpu\u001b[39m\u001b[38;5;124m\"\u001b[39m))\n\u001b[1;32m   1211\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/transformers/pipelines/zero_shot_classification.py:229\u001b[0m, in \u001b[0;36mZeroShotClassificationPipeline._forward\u001b[0;34m(self, inputs)\u001b[0m\n\u001b[1;32m    227\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124muse_cache\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m inspect\u001b[38;5;241m.\u001b[39msignature(model_forward)\u001b[38;5;241m.\u001b[39mparameters\u001b[38;5;241m.\u001b[39mkeys():\n\u001b[1;32m    228\u001b[0m     model_inputs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124muse_cache\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[0;32m--> 229\u001b[0m outputs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmodel\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mmodel_inputs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    231\u001b[0m model_outputs \u001b[38;5;241m=\u001b[39m {\n\u001b[1;32m    232\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcandidate_label\u001b[39m\u001b[38;5;124m\"\u001b[39m: candidate_label,\n\u001b[1;32m    233\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msequence\u001b[39m\u001b[38;5;124m\"\u001b[39m: sequence,\n\u001b[1;32m    234\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mis_last\u001b[39m\u001b[38;5;124m\"\u001b[39m: inputs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mis_last\u001b[39m\u001b[38;5;124m\"\u001b[39m],\n\u001b[1;32m    235\u001b[0m     \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39moutputs,\n\u001b[1;32m    236\u001b[0m }\n\u001b[1;32m    237\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m model_outputs\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/torch/nn/modules/module.py:1511\u001b[0m, in \u001b[0;36mModule._wrapped_call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1509\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compiled_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)  \u001b[38;5;66;03m# type: ignore[misc]\u001b[39;00m\n\u001b[1;32m   1510\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1511\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/torch/nn/modules/module.py:1520\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1515\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m   1516\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m   1517\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m   1518\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m   1519\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1520\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1522\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m   1523\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py:1297\u001b[0m, in \u001b[0;36mDebertaV2ForSequenceClassification.forward\u001b[0;34m(self, input_ids, attention_mask, token_type_ids, position_ids, inputs_embeds, labels, output_attentions, output_hidden_states, return_dict)\u001b[0m\n\u001b[1;32m   1289\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m   1290\u001b[0m \u001b[38;5;124;03mlabels (`torch.LongTensor` of shape `(batch_size,)`, *optional*):\u001b[39;00m\n\u001b[1;32m   1291\u001b[0m \u001b[38;5;124;03m    Labels for computing the sequence classification/regression loss. Indices should be in `[0, ...,\u001b[39;00m\n\u001b[1;32m   1292\u001b[0m \u001b[38;5;124;03m    config.num_labels - 1]`. If `config.num_labels == 1` a regression loss is computed (Mean-Square loss), If\u001b[39;00m\n\u001b[1;32m   1293\u001b[0m \u001b[38;5;124;03m    `config.num_labels > 1` a classification loss is computed (Cross-Entropy).\u001b[39;00m\n\u001b[1;32m   1294\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m   1295\u001b[0m return_dict \u001b[38;5;241m=\u001b[39m return_dict \u001b[38;5;28;01mif\u001b[39;00m return_dict \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconfig\u001b[38;5;241m.\u001b[39muse_return_dict\n\u001b[0;32m-> 1297\u001b[0m outputs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdeberta\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1298\u001b[0m \u001b[43m    \u001b[49m\u001b[43minput_ids\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1299\u001b[0m \u001b[43m    \u001b[49m\u001b[43mtoken_type_ids\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtoken_type_ids\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1300\u001b[0m \u001b[43m    \u001b[49m\u001b[43mattention_mask\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mattention_mask\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1301\u001b[0m \u001b[43m    \u001b[49m\u001b[43mposition_ids\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mposition_ids\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1302\u001b[0m \u001b[43m    \u001b[49m\u001b[43minputs_embeds\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minputs_embeds\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1303\u001b[0m \u001b[43m    \u001b[49m\u001b[43moutput_attentions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43moutput_attentions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1304\u001b[0m \u001b[43m    \u001b[49m\u001b[43moutput_hidden_states\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43moutput_hidden_states\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1305\u001b[0m \u001b[43m    \u001b[49m\u001b[43mreturn_dict\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mreturn_dict\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1306\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1308\u001b[0m encoder_layer \u001b[38;5;241m=\u001b[39m outputs[\u001b[38;5;241m0\u001b[39m]\n\u001b[1;32m   1309\u001b[0m pooled_output \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpooler(encoder_layer)\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/torch/nn/modules/module.py:1511\u001b[0m, in \u001b[0;36mModule._wrapped_call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1509\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compiled_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)  \u001b[38;5;66;03m# type: ignore[misc]\u001b[39;00m\n\u001b[1;32m   1510\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1511\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/torch/nn/modules/module.py:1520\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1515\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m   1516\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m   1517\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m   1518\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m   1519\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1520\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1522\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m   1523\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py:1063\u001b[0m, in \u001b[0;36mDebertaV2Model.forward\u001b[0;34m(self, input_ids, attention_mask, token_type_ids, position_ids, inputs_embeds, output_attentions, output_hidden_states, return_dict)\u001b[0m\n\u001b[1;32m   1053\u001b[0m     token_type_ids \u001b[38;5;241m=\u001b[39m torch\u001b[38;5;241m.\u001b[39mzeros(input_shape, dtype\u001b[38;5;241m=\u001b[39mtorch\u001b[38;5;241m.\u001b[39mlong, device\u001b[38;5;241m=\u001b[39mdevice)\n\u001b[1;32m   1055\u001b[0m embedding_output \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39membeddings(\n\u001b[1;32m   1056\u001b[0m     input_ids\u001b[38;5;241m=\u001b[39minput_ids,\n\u001b[1;32m   1057\u001b[0m     token_type_ids\u001b[38;5;241m=\u001b[39mtoken_type_ids,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1060\u001b[0m     inputs_embeds\u001b[38;5;241m=\u001b[39minputs_embeds,\n\u001b[1;32m   1061\u001b[0m )\n\u001b[0;32m-> 1063\u001b[0m encoder_outputs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoder\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1064\u001b[0m \u001b[43m    \u001b[49m\u001b[43membedding_output\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1065\u001b[0m \u001b[43m    \u001b[49m\u001b[43mattention_mask\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1066\u001b[0m \u001b[43m    \u001b[49m\u001b[43moutput_hidden_states\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m   1067\u001b[0m \u001b[43m    \u001b[49m\u001b[43moutput_attentions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43moutput_attentions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1068\u001b[0m \u001b[43m    \u001b[49m\u001b[43mreturn_dict\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mreturn_dict\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1069\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1070\u001b[0m encoded_layers \u001b[38;5;241m=\u001b[39m encoder_outputs[\u001b[38;5;241m1\u001b[39m]\n\u001b[1;32m   1072\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mz_steps \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/torch/nn/modules/module.py:1511\u001b[0m, in \u001b[0;36mModule._wrapped_call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1509\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compiled_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)  \u001b[38;5;66;03m# type: ignore[misc]\u001b[39;00m\n\u001b[1;32m   1510\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1511\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/torch/nn/modules/module.py:1520\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1515\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m   1516\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m   1517\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m   1518\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m   1519\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1520\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1522\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m   1523\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py:507\u001b[0m, in \u001b[0;36mDebertaV2Encoder.forward\u001b[0;34m(self, hidden_states, attention_mask, output_hidden_states, output_attentions, query_states, relative_pos, return_dict)\u001b[0m\n\u001b[1;32m    497\u001b[0m     output_states \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_gradient_checkpointing_func(\n\u001b[1;32m    498\u001b[0m         layer_module\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__call__\u001b[39m,\n\u001b[1;32m    499\u001b[0m         next_kv,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    504\u001b[0m         output_attentions,\n\u001b[1;32m    505\u001b[0m     )\n\u001b[1;32m    506\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 507\u001b[0m     output_states \u001b[38;5;241m=\u001b[39m \u001b[43mlayer_module\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    508\u001b[0m \u001b[43m        \u001b[49m\u001b[43mnext_kv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    509\u001b[0m \u001b[43m        \u001b[49m\u001b[43mattention_mask\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    510\u001b[0m \u001b[43m        \u001b[49m\u001b[43mquery_states\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mquery_states\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    511\u001b[0m \u001b[43m        \u001b[49m\u001b[43mrelative_pos\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrelative_pos\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    512\u001b[0m \u001b[43m        \u001b[49m\u001b[43mrel_embeddings\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrel_embeddings\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    513\u001b[0m \u001b[43m        \u001b[49m\u001b[43moutput_attentions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43moutput_attentions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    514\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    516\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m output_attentions:\n\u001b[1;32m    517\u001b[0m     output_states, att_m \u001b[38;5;241m=\u001b[39m output_states\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/torch/nn/modules/module.py:1511\u001b[0m, in \u001b[0;36mModule._wrapped_call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1509\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compiled_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)  \u001b[38;5;66;03m# type: ignore[misc]\u001b[39;00m\n\u001b[1;32m   1510\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1511\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/torch/nn/modules/module.py:1520\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1515\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m   1516\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m   1517\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m   1518\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m   1519\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1520\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1522\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m   1523\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py:366\u001b[0m, in \u001b[0;36mDebertaV2Layer.forward\u001b[0;34m(self, hidden_states, attention_mask, query_states, relative_pos, rel_embeddings, output_attentions)\u001b[0m\n\u001b[1;32m    364\u001b[0m     attention_output, att_matrix \u001b[38;5;241m=\u001b[39m attention_output\n\u001b[1;32m    365\u001b[0m intermediate_output \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mintermediate(attention_output)\n\u001b[0;32m--> 366\u001b[0m layer_output \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moutput\u001b[49m\u001b[43m(\u001b[49m\u001b[43mintermediate_output\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mattention_output\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    367\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m output_attentions:\n\u001b[1;32m    368\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m (layer_output, att_matrix)\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/torch/nn/modules/module.py:1511\u001b[0m, in \u001b[0;36mModule._wrapped_call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1509\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compiled_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)  \u001b[38;5;66;03m# type: ignore[misc]\u001b[39;00m\n\u001b[1;32m   1510\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1511\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/torch/nn/modules/module.py:1520\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1515\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m   1516\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m   1517\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m   1518\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m   1519\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1520\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1522\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m   1523\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py:332\u001b[0m, in \u001b[0;36mDebertaV2Output.forward\u001b[0;34m(self, hidden_states, input_tensor)\u001b[0m\n\u001b[1;32m    331\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mforward\u001b[39m(\u001b[38;5;28mself\u001b[39m, hidden_states, input_tensor):\n\u001b[0;32m--> 332\u001b[0m     hidden_states \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdense\u001b[49m\u001b[43m(\u001b[49m\u001b[43mhidden_states\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    333\u001b[0m     hidden_states \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdropout(hidden_states)\n\u001b[1;32m    334\u001b[0m     hidden_states \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mLayerNorm(hidden_states \u001b[38;5;241m+\u001b[39m input_tensor)\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/torch/nn/modules/module.py:1511\u001b[0m, in \u001b[0;36mModule._wrapped_call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1509\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compiled_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)  \u001b[38;5;66;03m# type: ignore[misc]\u001b[39;00m\n\u001b[1;32m   1510\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1511\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/torch/nn/modules/module.py:1520\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1515\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m   1516\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m   1517\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m   1518\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m   1519\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1520\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1522\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m   1523\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n",
+      "File \u001b[0;32m~/opt/anaconda3/envs/huggingface_env/lib/python3.8/site-packages/torch/nn/modules/linear.py:116\u001b[0m, in \u001b[0;36mLinear.forward\u001b[0;34m(self, input)\u001b[0m\n\u001b[1;32m    115\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mforward\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;28minput\u001b[39m: Tensor) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Tensor:\n\u001b[0;32m--> 116\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mF\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlinear\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mweight\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbias\u001b[49m\u001b[43m)\u001b[49m\n",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
      ]
     }
    ],
@@ -818,38 +353,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": null,
    "id": "eb33fd31-94e6-40b5-9c36-a32effe77c01",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "           superclass  same_value  same_value  same_value  same_value  \\\n",
-      "0       activity_type        True        True       False        True   \n",
-      "1          activities       False       False       False       False   \n",
-      "2   climate_or_season        True        True        True       False   \n",
-      "3    style_or_comfort       False       False        True       False   \n",
-      "4          dress_code        True       False        True        True   \n",
-      "5       accommodation       False       False       False       False   \n",
-      "6      transportation        True        True       False        True   \n",
-      "7  special_conditions       False       False       False       False   \n",
-      "8    trip_length_days       False        True        True        True   \n",
-      "\n",
-      "   same_value  same_value  same_value  same_value  same_value  same_value  \n",
-      "0        True       False        True        True        True        True  \n",
-      "1       False       False       False       False       False       False  \n",
-      "2        True       False       False        True        True       False  \n",
-      "3       False        True        True       False        True       False  \n",
-      "4        True        True        True       False        True       False  \n",
-      "5       False        True        True       False       False        True  \n",
-      "6       False        True        True        True        True        True  \n",
-      "7       False       False       False       False       False       False  \n",
-      "8        True       False       False       False       False        True  \n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Extract \"same_value\" column from each DataFrame\n",
     "sv_columns = [df['same_value'] for df in result_list]  # 'same' needs to be changed\n",
@@ -863,27 +370,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": null,
    "id": "bf7546cb-79ce-49ad-8cee-54d02239220c",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "           superclass  accuracy\n",
-      "0       activity_type       0.8\n",
-      "1          activities       0.0\n",
-      "2   climate_or_season       0.6\n",
-      "3    style_or_comfort       0.4\n",
-      "4          dress_code       0.7\n",
-      "5       accommodation       0.3\n",
-      "6      transportation       0.8\n",
-      "7  special_conditions       0.0\n",
-      "8    trip_length_days       0.5\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Compute accuracy per superclass (row means of same_value matrix excluding the first column)\n",
     "row_means = sv_df.iloc[:, 1:].mean(axis=1)\n",
@@ -898,33 +388,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
    "id": "fd232953-59e8-4f28-9ce8-11515a2c310b",
    "metadata": {
     "scrolled": true
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "accuracy      0.454545\n",
-      "true_ident    0.689394\n",
-      "false_pred    0.409091\n",
-      "dtype: float64\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 1000x600 with 4 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Compute performance measures per trip (mean for each column of performance table)\n",
     "column_means = performance.mean()\n",
@@ -938,14 +407,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "id": "bd682c84-3eb1-4a8d-9621-b741e98e4537",
    "metadata": {},
    "outputs": [],
    "source": [
     "# save results\n",
     "# Example data for one model\n",
-    "model_name = 'model_a_facebook-bart-large-mnli'\n",
+    "model_name = 'model_MoritzLaurer-DeBERTa-v3-base-mnli-fever-anli'\n",
     "# Structure to save\n",
     "model_result = {\n",
     "    'model': model_name,\n",
@@ -963,16 +432,97 @@
     "    pickle.dump(model_result, f)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "e1cbb54e-abe6-49b6-957e-0683196f3199",
+   "metadata": {},
+   "source": [
+    "**Load and compare results**"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "905eab28-1735-4c0e-abf8-0ffc5e799eb0",
+   "execution_count": 35,
+   "id": "62ca82b0-6909-4e6c-9d2c-fed87971e5b6",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Model: model_a_facebook-bart-large-mnli\n",
+      "Performance Summary:\n",
+      "accuracy      0.454545\n",
+      "true_ident    0.689394\n",
+      "false_pred    0.409091\n",
+      "dtype: float64\n",
+      "----------------------------------------\n",
+      "Model: model_b_sileod-deberta-v3-base-tasksource-nli\n",
+      "Performance Summary:\n",
+      "accuracy      0.500000\n",
+      "true_ident    0.666667\n",
+      "false_pred    0.551667\n",
+      "dtype: float64\n",
+      "----------------------------------------\n",
+      "Model: model_a_facebook-bart-large-mnli\n",
+      "Performance Summary:\n",
+      "           superclass  accuracy\n",
+      "0       activity_type       0.8\n",
+      "1          activities       0.0\n",
+      "2   climate_or_season       0.6\n",
+      "3    style_or_comfort       0.4\n",
+      "4          dress_code       0.7\n",
+      "5       accommodation       0.3\n",
+      "6      transportation       0.8\n",
+      "7  special_conditions       0.0\n",
+      "8    trip_length_days       0.5\n",
+      "----------------------------------------\n",
+      "Model: model_b_sileod-deberta-v3-base-tasksource-nli\n",
+      "Performance Summary:\n",
+      "           superclass  accuracy\n",
+      "0       activity_type       0.7\n",
+      "1          activities       0.1\n",
+      "2   climate_or_season       0.6\n",
+      "3    style_or_comfort       0.4\n",
+      "4          dress_code       0.6\n",
+      "5       accommodation       0.9\n",
+      "6      transportation       0.7\n",
+      "7  special_conditions       0.1\n",
+      "8    trip_length_days       0.5\n",
+      "----------------------------------------\n"
+     ]
+    }
+   ],
    "source": [
-    "# load all model results later for comparison\n",
-    "with open(f'{model_name}_results.pkl', 'rb') as f:\n",
-    "    model_result = pickle.load(f)\n"
+    "# Folder where your .pkl files are saved\n",
+    "results_dir = 'results'\n",
+    "\n",
+    "# Dictionary to store all loaded results\n",
+    "all_results = {}\n",
+    "\n",
+    "# Loop through all .pkl files in the folder\n",
+    "for filename in os.listdir(results_dir):\n",
+    "    if filename.endswith('.pkl'):\n",
+    "        model_name = filename.replace('_results.pkl', '')  # Extract model name\n",
+    "        file_path = os.path.join(results_dir, filename)\n",
+    "        \n",
+    "        # Load the result\n",
+    "        with open(file_path, 'rb') as f:\n",
+    "            result = pickle.load(f)\n",
+    "            all_results[model_name] = result\n",
+    "\n",
+    "# Now you can compare performance across models\n",
+    "for model, data in all_results.items():\n",
+    "    print(f\"Model: {model}\")\n",
+    "    print(f\"Performance Summary:\\n{data['perf_summary']}\")\n",
+    "    print(\"-\" * 40)\n",
+    "\n",
+    "\n",
+    "# Now you can compare performance across models\n",
+    "for model, data in all_results.items():\n",
+    "    print(f\"Model: {model}\")\n",
+    "    print(f\"Performance Summary:\\n{data['perf_superclass']}\")\n",
+    "    print(\"-\" * 40)"
    ]
   },
   {