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langcache-embed-experimental

Sentence Similarity
sentence-transformers
Safetensors
English
bert
biencoder
text-classification
sentence-pair-classification
semantic-similarity
semantic-search
retrieval
reranking
Generated from Trainer
dataset_size:9233417
loss:ArcFaceInBatchLoss
Eval Results
text-embeddings-inference
Model card Files
xet
Community
radoslavralev commited on
Commit
50fd581
·
verified ·
1 Parent(s): 212194b

Add new SentenceTransformer model

Browse files
Files changed (2) hide show
  1. README.md +17 -17
  2. model.safetensors +1 -1
README.md CHANGED
@@ -83,28 +83,28 @@ model-index:
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  type: test
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  metrics:
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  - type: cosine_accuracy@1
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- value: 0.5763458576596583
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  name: Cosine Accuracy@1
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  - type: cosine_precision@1
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- value: 0.5763458576596583
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  name: Cosine Precision@1
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  - type: cosine_recall@1
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- value: 0.5583264629675676
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  name: Cosine Recall@1
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  - type: cosine_ndcg@10
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- value: 0.7650954794467948
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  name: Cosine Ndcg@10
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  - type: cosine_mrr@1
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- value: 0.5763458576596583
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  name: Cosine Mrr@1
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  - type: cosine_map@100
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- value: 0.7127722828012101
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  name: Cosine Map@100
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  - type: cosine_auc_precision_cache_hit_ratio
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- value: 0.333338757469584
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  name: Cosine Auc Precision Cache Hit Ratio
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  - type: cosine_auc_similarity_distribution
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- value: 0.1528271968812688
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  name: Cosine Auc Similarity Distribution
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  ---
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@@ -210,14 +210,14 @@ You can finetune this model on your own dataset.
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  | Metric | Value |
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  |:-------------------------------------|:-----------|
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- | cosine_accuracy@1 | 0.5763 |
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- | cosine_precision@1 | 0.5763 |
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- | cosine_recall@1 | 0.5583 |
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- | **cosine_ndcg@10** | **0.7651** |
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- | cosine_mrr@1 | 0.5763 |
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- | cosine_map@100 | 0.7128 |
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- | cosine_auc_precision_cache_hit_ratio | 0.3333 |
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- | cosine_auc_similarity_distribution | 0.1528 |
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  <!--
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  ## Bias, Risks and Limitations
@@ -290,7 +290,7 @@ You can finetune this model on your own dataset.
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  ### Training Logs
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  | Epoch | Step | test_cosine_ndcg@10 |
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  |:-----:|:----:|:-------------------:|
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- | -1 | -1 | 0.7651 |
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  ### Framework Versions
 
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  type: test
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  metrics:
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  - type: cosine_accuracy@1
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+ value: 0.5767398545793188
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  name: Cosine Accuracy@1
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  - type: cosine_precision@1
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+ value: 0.5767398545793188
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  name: Cosine Precision@1
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  - type: cosine_recall@1
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+ value: 0.5587729928098495
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  name: Cosine Recall@1
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  - type: cosine_ndcg@10
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+ value: 0.765303742759965
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  name: Cosine Ndcg@10
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  - type: cosine_mrr@1
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+ value: 0.5767398545793188
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  name: Cosine Mrr@1
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  - type: cosine_map@100
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+ value: 0.713047413557968
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  name: Cosine Map@100
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  - type: cosine_auc_precision_cache_hit_ratio
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+ value: 0.3336770620642977
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  name: Cosine Auc Precision Cache Hit Ratio
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  - type: cosine_auc_similarity_distribution
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+ value: 0.15285988421779204
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  name: Cosine Auc Similarity Distribution
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  ---
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  | Metric | Value |
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  |:-------------------------------------|:-----------|
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+ | cosine_accuracy@1 | 0.5767 |
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+ | cosine_precision@1 | 0.5767 |
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+ | cosine_recall@1 | 0.5588 |
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+ | **cosine_ndcg@10** | **0.7653** |
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+ | cosine_mrr@1 | 0.5767 |
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+ | cosine_map@100 | 0.713 |
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+ | cosine_auc_precision_cache_hit_ratio | 0.3337 |
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+ | cosine_auc_similarity_distribution | 0.1529 |
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  <!--
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  ## Bias, Risks and Limitations
 
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  ### Training Logs
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  | Epoch | Step | test_cosine_ndcg@10 |
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  |:-----:|:----:|:-------------------:|
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+ | -1 | -1 | 0.7653 |
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  ### Framework Versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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