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070524_epoch_2

Text Classification
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roberta
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End of training

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  1. README.md +12 -12
  2. logs/events.out.tfevents.1715091605.0e94ba1912c9.407.2 +3 -0
  3. logs/events.out.tfevents.1715091777.0e94ba1912c9.407.3 +3 -0
  4. model.safetensors +1 -1
README.md CHANGED
@@ -20,12 +20,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/roberta-base-ca-v2-cased-te) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7589
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- - Accuracy: 0.8067
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- - Precision: 0.8081
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- - Recall: 0.8067
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- - F1: 0.8065
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- - Ratio: 0.5336
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  ## Model description
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@@ -61,12 +61,12 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Ratio |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
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- | 0.2992 | 0.1626 | 10 | 0.8946 | 0.7899 | 0.7920 | 0.7899 | 0.7895 | 0.5420 |
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- | 0.2963 | 0.3252 | 20 | 0.9356 | 0.7899 | 0.7983 | 0.7899 | 0.7884 | 0.5840 |
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- | 0.4298 | 0.4878 | 30 | 0.8413 | 0.7941 | 0.8018 | 0.7941 | 0.7928 | 0.4202 |
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- | 0.5501 | 0.6504 | 40 | 0.7679 | 0.8193 | 0.8199 | 0.8193 | 0.8192 | 0.4790 |
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- | 0.5607 | 0.8130 | 50 | 0.7807 | 0.7941 | 0.7967 | 0.7941 | 0.7937 | 0.5462 |
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- | 0.8989 | 0.9756 | 60 | 0.7597 | 0.8067 | 0.8081 | 0.8067 | 0.8065 | 0.5336 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/roberta-base-ca-v2-cased-te) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6952
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+ - Accuracy: 0.7437
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+ - Precision: 0.7569
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+ - Recall: 0.7437
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+ - F1: 0.7404
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+ - Ratio: 0.6134
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Ratio |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
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+ | 0.7924 | 0.1626 | 10 | 0.7754 | 0.7101 | 0.7233 | 0.7101 | 0.7057 | 0.3782 |
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+ | 0.641 | 0.3252 | 20 | 0.8257 | 0.7227 | 0.7451 | 0.7227 | 0.7162 | 0.6513 |
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+ | 0.8108 | 0.4878 | 30 | 0.7629 | 0.7563 | 0.7564 | 0.7563 | 0.7563 | 0.4916 |
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+ | 0.736 | 0.6504 | 40 | 0.7167 | 0.7731 | 0.7751 | 0.7731 | 0.7727 | 0.4580 |
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+ | 0.6973 | 0.8130 | 50 | 0.7419 | 0.7143 | 0.7448 | 0.7143 | 0.7051 | 0.6765 |
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+ | 0.7981 | 0.9756 | 60 | 0.6962 | 0.7437 | 0.7569 | 0.7437 | 0.7404 | 0.6134 |
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  ### Framework versions
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