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hmm404
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tmp_trainer

Sentence Similarity
sentence-transformers
TensorBoard
Safetensors
mpnet
feature-extraction
Generated from Trainer
dataset_size:32351
loss:TripletLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files
xet
 Metrics Community
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Files changed (5) hide show
  1. README.md +65 -7
  2. model.safetensors +1 -1
  3. runs/Feb20_23-57-10_c4d6b74f6ef5/events.out.tfevents.1740095850.c4d6b74f6ef5.2977.0 +3 -0
  4. runs/Feb20_23-58-17_c4d6b74f6ef5/events.out.tfevents.1740095945.c4d6b74f6ef5.2977.1 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -62,6 +62,24 @@ widget:
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  from low socio-economic backgrounds.
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  pipeline_tag: sentence-similarity
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  library_name: sentence-transformers
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
@@ -152,6 +170,26 @@ You can finetune this model on your own dataset.
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  *List how the model may foreseeably be misused and address what users ought not to do with the model.*
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  -->
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  <!--
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  ## Bias, Risks and Limitations
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@@ -315,13 +353,33 @@ You can finetune this model on your own dataset.
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  </details>
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  ### Training Logs
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- | Epoch | Step | Training Loss |
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- |:------:|:----:|:-------------:|
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- | 0.1236 | 500 | 0.2178 |
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- | 0.2473 | 1000 | 0.1997 |
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- | 0.3709 | 1500 | 0.1829 |
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- | 0.4946 | 2000 | 0.1716 |
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- | 0.6182 | 2500 | 0.1586 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework Versions
 
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  from low socio-economic backgrounds.
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  pipeline_tag: sentence-similarity
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  library_name: sentence-transformers
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+ metrics:
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+ - cosine_accuracy
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+ model-index:
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+ - name: SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
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+ results:
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+ - task:
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+ type: triplet
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+ name: Triplet
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+ dataset:
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+ name: Unknown
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+ type: unknown
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+ metrics:
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+ - type: cosine_accuracy
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+ value: 0.9264069199562073
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+ name: Cosine Accuracy
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+ - type: cosine_accuracy
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+ value: 0.9161931872367859
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+ name: Cosine Accuracy
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  ---
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  # SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
 
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  *List how the model may foreseeably be misused and address what users ought not to do with the model.*
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  -->
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+ ## Evaluation
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+
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+ ### Metrics
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+
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+ #### Triplet
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+
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+ * Evaluated with [<code>TripletEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.TripletEvaluator)
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+
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+ | Metric | Value |
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+ |:--------------------|:-----------|
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+ | **cosine_accuracy** | **0.9264** |
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+
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+ #### Triplet
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+
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+ * Evaluated with [<code>TripletEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.TripletEvaluator)
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+
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+ | Metric | Value |
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+ |:--------------------|:-----------|
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+ | **cosine_accuracy** | **0.9162** |
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+
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  <!--
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  ## Bias, Risks and Limitations
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  </details>
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  ### Training Logs
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+ | Epoch | Step | Training Loss | cosine_accuracy |
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+ |:------:|:-----:|:-------------:|:---------------:|
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+ | 0.1236 | 500 | 0.1872 | - |
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+ | 0.2473 | 1000 | 0.1954 | - |
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+ | 0.3709 | 1500 | 0.1854 | - |
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+ | 0.4946 | 2000 | 0.1891 | - |
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+ | 0.6182 | 2500 | 0.181 | - |
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+ | 0.7418 | 3000 | 0.1794 | - |
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+ | 0.8655 | 3500 | 0.1815 | - |
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+ | 0.9891 | 4000 | 0.1736 | - |
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+ | 1.1128 | 4500 | 0.1342 | - |
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+ | 1.2364 | 5000 | 0.1297 | - |
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+ | 1.3600 | 5500 | 0.1318 | - |
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+ | 1.4837 | 6000 | 0.1255 | - |
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+ | 1.6073 | 6500 | 0.128 | - |
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+ | 1.7310 | 7000 | 0.1233 | - |
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+ | 1.8546 | 7500 | 0.1221 | - |
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+ | 1.9782 | 8000 | 0.1232 | - |
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+ | 2.1019 | 8500 | 0.0841 | - |
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+ | 2.2255 | 9000 | 0.0757 | - |
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+ | 2.3492 | 9500 | 0.0764 | - |
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+ | 2.4728 | 10000 | 0.0761 | - |
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+ | 2.5964 | 10500 | 0.0726 | - |
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+ | 2.7201 | 11000 | 0.0644 | - |
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+ | 2.8437 | 11500 | 0.073 | - |
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+ | 2.9674 | 12000 | 0.0725 | - |
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+ | -1 | -1 | - | 0.9162 |
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  ### Framework Versions
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