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ThuyNT03
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xlm-roberta-base-Balance_Mixed-train

Text Classification
Transformers
PyTorch
xlm-roberta
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Training completed!

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  1. README.md +13 -13
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ 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: 0.8052
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- - Accuracy: 0.73
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- - F1: 0.7215
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  ## Model description
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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 | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 1.0975 | 1.0 | 44 | 1.0707 | 0.58 | 0.4831 |
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- | 0.9449 | 2.0 | 88 | 0.8294 | 0.66 | 0.5907 |
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- | 0.7699 | 3.0 | 132 | 0.6783 | 0.71 | 0.6869 |
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- | 0.6204 | 4.0 | 176 | 0.6868 | 0.73 | 0.7221 |
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- | 0.5237 | 5.0 | 220 | 0.7364 | 0.72 | 0.7081 |
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- | 0.4273 | 6.0 | 264 | 0.7955 | 0.74 | 0.7231 |
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- | 0.3772 | 7.0 | 308 | 0.8233 | 0.71 | 0.6904 |
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- | 0.3074 | 8.0 | 352 | 0.8052 | 0.73 | 0.7215 |
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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: 0.8559
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+ - Accuracy: 0.76
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+ - F1: 0.7650
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  ## Model description
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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: 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 | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 1.096 | 1.0 | 88 | 0.9979 | 0.58 | 0.5233 |
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+ | 0.9527 | 2.0 | 176 | 0.7392 | 0.64 | 0.6155 |
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+ | 0.7541 | 3.0 | 264 | 0.6740 | 0.73 | 0.7118 |
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+ | 0.5891 | 4.0 | 352 | 0.5188 | 0.8 | 0.7962 |
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+ | 0.4599 | 5.0 | 440 | 0.5250 | 0.83 | 0.8328 |
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+ | 0.3926 | 6.0 | 528 | 0.6659 | 0.79 | 0.7918 |
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+ | 0.2917 | 7.0 | 616 | 0.7910 | 0.77 | 0.7717 |
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+ | 0.2835 | 8.0 | 704 | 0.8559 | 0.76 | 0.7650 |
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  ### Framework versions
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