Training in progress, epoch 1
Browse files- final/README.md +21 -3
- final/model.safetensors +1 -1
- model.safetensors +1 -1
- training_args.bin +1 -1
final/README.md
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- type: cosine_accuracy
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value: 0.9632217288017273
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name: Cosine Accuracy
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---
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# SentenceTransformer
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# Get the similarity scores for the embeddings
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similarities = model.similarity(embeddings, embeddings)
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print(similarities)
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# tensor([[1.0000, 0.
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# [0.
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# [0.
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```
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<!--
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|:--------------------|:-----------|
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| **cosine_accuracy** | **0.9632** |
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<!--
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## Bias, Risks and Limitations
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| 3.0 | 129 | 1.1581 | - |
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| 4.0 | 172 | 1.013 | - |
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| 5.0 | 215 | 0.9318 | - |
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### Framework Versions
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- type: cosine_accuracy
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value: 0.9632217288017273
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name: Cosine Accuracy
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- type: cosine_accuracy
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value: 0.9583539962768555
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name: Cosine Accuracy
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---
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# SentenceTransformer
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# Get the similarity scores for the embeddings
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similarities = model.similarity(embeddings, embeddings)
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print(similarities)
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# tensor([[1.0000, 0.8800, 0.2118],
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# [0.8800, 1.0000, 0.2279],
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# [0.2118, 0.2279, 1.0000]])
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```
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<!--
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|:--------------------|:-----------|
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| **cosine_accuracy** | **0.9632** |
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#### Triplet
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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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| Metric | Value |
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|:--------------------|:-----------|
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| **cosine_accuracy** | **0.9584** |
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<!--
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## Bias, Risks and Limitations
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| 3.0 | 129 | 1.1581 | - |
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| 4.0 | 172 | 1.013 | - |
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| 5.0 | 215 | 0.9318 | - |
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| -1 | -1 | - | 0.9584 |
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| 0.0233 | 1 | 0.6549 | - |
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| 1.0 | 43 | 0.5541 | - |
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| 2.0 | 86 | 0.5269 | - |
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| 3.0 | 129 | 0.6036 | - |
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| 4.0 | 172 | 0.6677 | - |
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| 5.0 | 215 | 0.7634 | - |
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### Framework Versions
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final/model.safetensors
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model.safetensors
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training_args.bin
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