Dr. Jorge Abreu Vicente commited on
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update model card README.md

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@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on the source_data_nlp dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0118
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- - Accuracy Score: 0.9970
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- - Precision: 0.9524
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- - Recall: 0.9865
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- - F1: 0.9691
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  ## Model description
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@@ -48,13 +48,14 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adafactor
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  - lr_scheduler_type: linear
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- - num_epochs: 1.0
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy Score | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------:|:---------:|:------:|:------:|
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- | 0.0078 | 1.0 | 216 | 0.0118 | 0.9970 | 0.9524 | 0.9865 | 0.9691 |
 
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  ### Framework versions
 
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  This model was trained from scratch on the source_data_nlp dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0075
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+ - Accuracy Score: 0.9980
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+ - Precision: 0.9651
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+ - Recall: 0.9905
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+ - F1: 0.9776
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  ## Model description
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  - seed: 42
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  - optimizer: Adafactor
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  - lr_scheduler_type: linear
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+ - num_epochs: 2.0
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy Score | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------:|:---------:|:------:|:------:|
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+ | 0.008 | 1.0 | 216 | 0.0072 | 0.9979 | 0.9715 | 0.9761 | 0.9738 |
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+ | 0.005 | 2.0 | 432 | 0.0075 | 0.9980 | 0.9651 | 0.9905 | 0.9776 |
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  ### Framework versions