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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 +11 -17
  2. model.safetensors +1 -1
  3. runs/Jan12_13-59-46_679397bb00b8/events.out.tfevents.1705067992.679397bb00b8.552.0 +3 -0
  4. runs/Jan12_14-01-36_679397bb00b8/events.out.tfevents.1705068099.679397bb00b8.552.1 +3 -0
  5. runs/Jan12_14-32-55_679397bb00b8/events.out.tfevents.1705069979.679397bb00b8.552.3 +3 -0
  6. 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: 0.1373
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- - Accuracy: 0.98
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  ## Model description
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@@ -37,9 +37,9 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 3e-05
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- - train_batch_size: 8
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- - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.098 | 0.8 | 300 | 0.2940 | 0.9283 |
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- | 0.0022 | 1.6 | 600 | 0.2300 | 0.9517 |
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- | 0.0008 | 2.4 | 900 | 0.1443 | 0.9733 |
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- | 0.0004 | 3.2 | 1200 | 0.1842 | 0.9683 |
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- | 0.0002 | 4.0 | 1500 | 0.1210 | 0.9817 |
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- | 0.0001 | 4.8 | 1800 | 0.3007 | 0.96 |
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- | 0.0001 | 5.6 | 2100 | 0.2417 | 0.9667 |
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- | 0.009 | 6.4 | 2400 | 0.1693 | 0.975 |
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- | 0.0001 | 7.2 | 2700 | 0.1276 | 0.985 |
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- | 0.0001 | 8.0 | 3000 | 0.1330 | 0.98 |
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- | 0.0001 | 8.8 | 3300 | 0.1363 | 0.98 |
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- | 0.0001 | 9.6 | 3600 | 0.1373 | 0.98 |
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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: 0.1876
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+ - Accuracy: 0.9783
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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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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