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bert-base-spanish-wwm-cased_bs4

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claudiaMartinez1982/bert-base-spanish-wwm-cased_bs4

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  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0245
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- - Precision: 0.9759
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- - Recall: 0.9753
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- - F1: 0.9756
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- - Accuracy: 0.9955
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.1088 | 0.6435 | 500 | 0.0664 | 0.8973 | 0.9271 | 0.9119 | 0.9815 |
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- | 0.0495 | 1.2870 | 1000 | 0.0494 | 0.9483 | 0.9427 | 0.9455 | 0.9906 |
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- | 0.0515 | 1.9305 | 1500 | 0.0314 | 0.9666 | 0.9622 | 0.9644 | 0.9938 |
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- | 0.0145 | 2.5740 | 2000 | 0.0245 | 0.9759 | 0.9753 | 0.9756 | 0.9955 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0253
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+ - Precision: 0.9727
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+ - Recall: 0.9746
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+ - F1: 0.9737
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+ - Accuracy: 0.9946
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.1167 | 0.6435 | 500 | 0.0831 | 0.8890 | 0.9069 | 0.8978 | 0.9799 |
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+ | 0.064 | 1.2870 | 1000 | 0.0561 | 0.9404 | 0.9447 | 0.9425 | 0.9898 |
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+ | 0.0496 | 1.9305 | 1500 | 0.0264 | 0.9517 | 0.9622 | 0.9569 | 0.9932 |
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+ | 0.0159 | 2.5740 | 2000 | 0.0253 | 0.9727 | 0.9746 | 0.9737 | 0.9946 |
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  ### Framework versions
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