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roberta-base-bne-finetuned-new_or_used_warranty

Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Inference Endpoints
Model card Files Community
2
gonchisi commited on
Commit
502f978
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1 Parent(s): c6e540a

Training in progress, epoch 1

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Files changed (4) hide show
  1. README.md +6 -6
  2. pytorch_model.bin +1 -1
  3. tokenizer.json +1 -6
  4. training_args.bin +1 -1
README.md CHANGED
@@ -6,19 +6,19 @@ tags:
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  metrics:
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  - accuracy
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  model-index:
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- - name: roberta-base-bne-finetuned-new_or_used_warranty
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # roberta-base-bne-finetuned-new_or_used_warranty
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  This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5748
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- - Accuracy: 0.6325
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  ## Model description
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@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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- | 0.5762 | 1.0 | 5000 | 0.5784 | 0.6292 |
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- | 0.5525 | 2.0 | 10000 | 0.5748 | 0.6325 |
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  ### Framework versions
 
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  metrics:
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  - accuracy
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  model-index:
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+ - name: roberta-base-bne-finetuned-new_or_used_title
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # roberta-base-bne-finetuned-new_or_used_title
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  This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3740
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+ - Accuracy: 0.8681
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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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+ | 0.3759 | 1.0 | 5563 | 0.3536 | 0.8482 |
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+ | 0.2449 | 2.0 | 11126 | 0.3740 | 0.8681 |
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  ### Framework versions
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