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soniarocca31
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prova_modello

Text Classification
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distilbert
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End of training

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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Jan15_09-35-05_a94c3cdae032/events.out.tfevents.1705311311.a94c3cdae032.158.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1876
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- - Accuracy: 0.9783
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  ## Model description
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@@ -49,12 +49,12 @@ 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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- | 0.0001 | 1.6 | 300 | 0.2257 | 0.9733 |
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- | 0.001 | 3.19 | 600 | 0.1637 | 0.98 |
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- | 0.0 | 4.79 | 900 | 0.1785 | 0.9767 |
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- | 0.0 | 6.38 | 1200 | 0.1702 | 0.9783 |
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- | 0.0 | 7.98 | 1500 | 0.1781 | 0.9783 |
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- | 0.0 | 9.57 | 1800 | 0.1876 | 0.9783 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0881
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+ - Accuracy: 0.9867
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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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+ | 0.1013 | 1.6 | 300 | 0.1481 | 0.965 |
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+ | 0.0026 | 3.19 | 600 | 0.0905 | 0.98 |
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+ | 0.002 | 4.79 | 900 | 0.0751 | 0.9867 |
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+ | 0.001 | 6.38 | 1200 | 0.0892 | 0.985 |
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+ | 0.0004 | 7.98 | 1500 | 0.0747 | 0.99 |
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+ | 0.0004 | 9.57 | 1800 | 0.0881 | 0.9867 |
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  ### Framework versions
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