v0.1 - 2025-03-11 01:36:07 UTC - retrain-pipelines v0.1.1 - Upload model and tokenizer with README.

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,114 @@
+---
+# @see https://github.com/huggingface/hub-docs/blob/main/modelcard.md
+# @see https://huggingface.co/docs/huggingface_hub/guides/model-cards#update-metadata
+# @see https://huggingface.co/docs/hub/model-cards#model-card-metadata
+
+version: '0.1'
+
+timestamp: '20250311_013607311_UTC'
+
+model_name: retrain-pipelines Function Caller
+
+base_model: unsloth/Qwen2.5-1.5B
+base_model_relation: adapter
+library_name: transformers
+datasets:
+- retrain-pipelines/func_calls_ds
+
+license: apache-2.0
+
+language:
+- en
+
+task_categories:
+- text2text-generation
+
+tags:
+- retrain-pipelines
+- function-calling
+- LLM Agent
+- code
+- unsloth
+
+thumbnail: https://cdn-avatars.huggingface.co/v1/production/uploads/651e93137b2a2e027f9e55df/96hzBved0YMjCq--s0kad.png
+
+
+# @see https://huggingface.co/docs/hub/models-widgets#enabling-a-widget
+# @see https://huggingface.co/docs/hub/models-widgets-examples
+# @see https://huggingface.co/docs/hub/en/model-cards#specifying-a-task--pipelinetag-
+pipeline_tag: text2text-generation
+widget:
+  - text: >-
+      Hello
+    example_title: No function call
+    output:
+      text: '[]'
+  - text: >-
+      Is 49 a perfect square?
+    example_title: Perfect square
+    output:
+      text: '[{"name": "is_perfect_square", "arguments": {"num": 49}}]'
+
+mf_run_id: '25'
+
+# @see https://huggingface.co/docs/huggingface_hub/guides/model-cards#include-evaluation-results
+# @see https://huggingface.co/docs/huggingface_hub/main/en/package_reference/cards#huggingface_hub.EvalResult
+model-index:
+- name: retrain-pipelines Function Caller
+  results:
+  - task:
+      type: text2text-generation
+      name: Text2Text Generation
+    dataset:
+      name: retrain-pipelines Function Calling
+      type: retrain-pipelines/func_calls_ds
+      split: validation
+      revision: 0d724ca7d347f10eab9357c180ac7b4ba30efb56
+    metrics:
+      - type: precision
+        value: 0.5526211857795715
+      - type: recall
+        value: 0.5526326298713684
+      - type: f1
+        value: 0.5523678064346313
+      - type: jaccard
+        value: 0.5371795892715454
+
+---
+
+# retrain-pipelines Function Caller
+
+`version 0.1`  -  `2025-03-11 01:36:07 UTC`
+(retraining
+<a target="_blank"
+   href="https://huggingface.co/retrain-pipelines/function_caller_lora/tree/retrain-pipelines_source-code/v0.1_20250311_013607311_UTC">source-code</a> |
+<a target="_blank"
+   href="https://huggingface.co/spaces/retrain-pipelines/online_pipeline_card_renderer/?model_repo_id=retrain-pipelines/function_caller_lora&version_id=v0.1_20250311_013607311_UTC">pipeline-card</a>)
+
+Training dataset&nbsp;:
+- <code>retrain-pipelines/func_calls_ds v0.4</code>
+(<a href="https://huggingface.co/datasets/retrain-pipelines/func_calls_ds/blob/0d724ca7d347f10eab9357c180ac7b4ba30efb56/README.md"
+    target="_blank">0d724ca</a> -
+    2025-03-10 20:20:59 UTC)
+
+Base model&nbsp;:
+- <code>unsloth/Qwen2.5-1.5B</code>
+(<a href="https://huggingface.co/unsloth/Qwen2.5-1.5B/blob/2d0a015faee2c1af360a6725a30c4d7a258ac4d4/README.md"
+    target="_blank">2d0a015</a> -
+    2025-02-06 02:32:14 UTC)<br />
+arxiv&nbsp;:<br />
+  - <code><a href="https://huggingface.co/papers/2407.10671"
+             target="_blank">2407.10671</a></code><br />
+<br />
+<br />
+<br />
+<br />
+<br />
+
+<hr />
+Powered by
+<code><a target="_blank"
+         href="https://github.com/aurelienmorgan/retrain-pipelines">retrain-pipelines
+      0.1.1</a></code> - 
+<code>Run by <a target="_blank" href="https://huggingface.co/Aurelien-Morgan-Bot">Aurelien-Morgan-Bot</a></code> -
+<em><b>UnslothFuncCallFlow</b></em> - mf_run_id&nbsp;: <code>25</code>

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/Qwen2.5-1.5B",
+  "bias": "none",
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "lm_head",
+    "embed_tokens"
+  ],
+  "peft_type": "LORA",
+  "r": 128,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "q_proj",
+    "gate_proj",
+    "v_proj",
+    "k_proj",
+    "o_proj",
+    "up_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": true
+}

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added_tokens.json

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runs/cpt/events.out.tfevents.1741638128.7858027e9f8a.5185.0

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special_tokens_map.json

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tokenizer.json

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tokenizer_config.json

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+  "chat_template": "You specialize in generating tool calls. Given a query, your task is to return a list of tool calls based on your knowledge of known tools.\n\nRules:\n1. You can only use tools you know. Do not create new tools under any circumstances.\n2. If a query does not match any known tool, return an empty list ([]).\n3. If information is missing to use a known tool, do not attempt to use it.\n4. Your response must always be a valid JSON array, and nothing else.\n\nBe precise and do not guess.\n\n# query:\n    {}\n# response:\n    {}",
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+}