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langcache-embed-v3

Sentence Similarity
sentence-transformers
Safetensors
English
modernbert
biencoder
text-classification
sentence-pair-classification
semantic-similarity
semantic-search
retrieval
reranking
Generated from Trainer
dataset_size:483820
loss:MultipleNegativesSymmetricRankingLoss
Eval Results
text-embeddings-inference
Model card Files
xet
Community
radoslavralev commited on
Commit
54c0816
·
verified ·
1 Parent(s): d777826

Add new SentenceTransformer model

Browse files
Files changed (2) hide show
  1. README.md +17 -17
  2. model.safetensors +1 -1
README.md CHANGED
@@ -87,28 +87,28 @@ model-index:
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  type: test
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  metrics:
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  - type: cosine_accuracy
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- value: 0.7037777526966672
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  name: Cosine Accuracy
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  - type: cosine_accuracy_threshold
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- value: 0.8524033427238464
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  name: Cosine Accuracy Threshold
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  - type: cosine_f1
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- value: 0.7122170715871171
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  name: Cosine F1
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  - type: cosine_f1_threshold
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- value: 0.8118724822998047
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  name: Cosine F1 Threshold
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  - type: cosine_precision
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- value: 0.5989283084033827
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  name: Cosine Precision
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  - type: cosine_recall
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- value: 0.8783612662942272
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  name: Cosine Recall
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  - type: cosine_ap
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- value: 0.6476665223951498
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  name: Cosine Ap
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  - type: cosine_mcc
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- value: 0.44182914870985407
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  name: Cosine Mcc
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  ---
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@@ -213,14 +213,14 @@ 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 | 0.7038 |
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- | cosine_accuracy_threshold | 0.8524 |
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- | cosine_f1 | 0.7122 |
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- | cosine_f1_threshold | 0.8119 |
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- | cosine_precision | 0.5989 |
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- | cosine_recall | 0.8784 |
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- | **cosine_ap** | **0.6477** |
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- | cosine_mcc | 0.4418 |
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  <!--
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  ## Bias, Risks and Limitations
@@ -293,7 +293,7 @@ You can finetune this model on your own dataset.
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  ### Training Logs
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  | Epoch | Step | test_cosine_ap |
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  |:-----:|:----:|:--------------:|
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- | -1 | -1 | 0.6477 |
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  ### Framework Versions
 
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  type: test
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  metrics:
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  - type: cosine_accuracy
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+ value: 0.7035681462730365
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  name: Cosine Accuracy
92
  - type: cosine_accuracy_threshold
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+ value: 0.8473721742630005
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  name: Cosine Accuracy Threshold
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  - type: cosine_f1
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+ value: 0.712274188436637
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  name: Cosine F1
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  - type: cosine_f1_threshold
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+ value: 0.8116312026977539
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  name: Cosine F1 Threshold
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  - type: cosine_precision
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+ value: 0.5987668417446905
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  name: Cosine Precision
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  - type: cosine_recall
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+ value: 0.8788826815642458
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  name: Cosine Recall
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  - type: cosine_ap
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+ value: 0.6473811496690576
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  name: Cosine Ap
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  - type: cosine_mcc
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+ value: 0.4419218320172892
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  name: Cosine Mcc
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  ---
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  | Metric | Value |
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  |:--------------------------|:-----------|
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+ | cosine_accuracy | 0.7036 |
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+ | cosine_accuracy_threshold | 0.8474 |
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+ | cosine_f1 | 0.7123 |
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+ | cosine_f1_threshold | 0.8116 |
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+ | cosine_precision | 0.5988 |
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+ | cosine_recall | 0.8789 |
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+ | **cosine_ap** | **0.6474** |
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+ | cosine_mcc | 0.4419 |
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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_ap |
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  |:-----:|:----:|:--------------:|
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+ | -1 | -1 | 0.6474 |
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  ### Framework Versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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