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Misinformation-Covid-xlm-roberta-base

Text Classification
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PyTorch
xlm-roberta
Generated from Trainer
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End of training

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  1. README.md +15 -15
  2. pytorch_model.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 [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6149
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- - F1: 0.0
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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: 1e-06
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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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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | F1 |
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- |:-------------:|:-----:|:----:|:---------------:|:---:|
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- | 0.6718 | 1.0 | 189 | 0.6458 | 0.0 |
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- | 0.6637 | 2.0 | 378 | 0.6182 | 0.0 |
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- | 0.6541 | 3.0 | 567 | 0.6109 | 0.0 |
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- | 0.6493 | 4.0 | 756 | 0.6085 | 0.0 |
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- | 0.7031 | 5.0 | 945 | 0.6190 | 0.0 |
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- | 0.6965 | 6.0 | 1134 | 0.6729 | 0.0 |
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- | 0.7197 | 7.0 | 1323 | 0.6059 | 0.0 |
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- | 0.6686 | 8.0 | 1512 | 0.6396 | 0.0 |
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- | 0.7227 | 9.0 | 1701 | 0.6186 | 0.0 |
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- | 0.7209 | 10.0 | 1890 | 0.6149 | 0.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7194
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+ - F1: 0.4333
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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-06
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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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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.6737 | 1.0 | 189 | 0.6662 | 0.0 |
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+ | 0.7083 | 2.0 | 378 | 0.6540 | 0.0 |
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+ | 0.7185 | 3.0 | 567 | 0.8346 | 0.0 |
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+ | 0.7826 | 4.0 | 756 | 0.8685 | 0.0 |
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+ | 0.8333 | 5.0 | 945 | 0.7939 | 0.0 |
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+ | 0.7989 | 6.0 | 1134 | 0.8978 | 0.0 |
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+ | 0.8009 | 7.0 | 1323 | 0.7276 | 0.3265 |
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+ | 0.6824 | 8.0 | 1512 | 0.7733 | 0.3774 |
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+ | 0.6979 | 9.0 | 1701 | 0.7327 | 0.4407 |
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+ | 0.6963 | 10.0 | 1890 | 0.7194 | 0.4333 |
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  ### Framework versions
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