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D3VILAni
/
intent-classifier

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Model card Files
xet
Community
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  1. README.md +3 -3
  2. final_model/model.safetensors +1 -1
  3. model.safetensors +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0002
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  - Accuracy: 1.0
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.0018 | 1.0 | 300 | 0.0010 | 1.0 |
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  | 0.0006 | 2.0 | 600 | 0.0004 | 1.0 |
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- | 0.0004 | 3.0 | 900 | 0.0002 | 1.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0003
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  - Accuracy: 1.0
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.0017 | 1.0 | 300 | 0.0010 | 1.0 |
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  | 0.0006 | 2.0 | 600 | 0.0004 | 1.0 |
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+ | 0.0004 | 3.0 | 900 | 0.0003 | 1.0 |
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  ### Framework versions
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