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Text Classification
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Safetensors
roberta
Generated from Trainer
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  1. README.md +13 -13
  2. model.safetensors +1 -1
  3. runs/Dec14_11-08-25_f3671df4dafd/events.out.tfevents.1702552105.f3671df4dafd.1158.0 +2 -2
  4. runs/Dec14_11-08-25_f3671df4dafd/events.out.tfevents.1702552455.f3671df4dafd.1158.1 +3 -0
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0319
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- - Accuracy: 0.9918
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  ## Model description
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@@ -48,21 +48,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 122 | 0.8579 | 0.8574 |
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- | No log | 2.0 | 244 | 0.3430 | 0.9645 |
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- | No log | 3.0 | 366 | 0.1552 | 0.9810 |
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- | No log | 4.0 | 488 | 0.0981 | 0.9840 |
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- | 0.6956 | 5.0 | 610 | 0.0636 | 0.9887 |
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- | 0.6956 | 6.0 | 732 | 0.0499 | 0.9892 |
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- | 0.6956 | 7.0 | 854 | 0.0398 | 0.9907 |
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- | 0.6956 | 8.0 | 976 | 0.0346 | 0.9918 |
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- | 0.0742 | 9.0 | 1098 | 0.0321 | 0.9918 |
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- | 0.0742 | 10.0 | 1220 | 0.0319 | 0.9918 |
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  ### Framework versions
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- - Transformers 4.35.2
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.15.0
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  - Tokenizers 0.15.0
 
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  This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) 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: 0.9709
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 95 | 1.0978 | 0.8201 |
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+ | No log | 2.0 | 190 | 0.5250 | 0.9392 |
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+ | No log | 3.0 | 285 | 0.3076 | 0.9418 |
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+ | No log | 4.0 | 380 | 0.2149 | 0.9471 |
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+ | No log | 5.0 | 475 | 0.2237 | 0.9497 |
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+ | 0.6823 | 6.0 | 570 | 0.1904 | 0.9630 |
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+ | 0.6823 | 7.0 | 665 | 0.1716 | 0.9656 |
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+ | 0.6823 | 8.0 | 760 | 0.1373 | 0.9709 |
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+ | 0.6823 | 9.0 | 855 | 0.1403 | 0.9683 |
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+ | 0.6823 | 10.0 | 950 | 0.1374 | 0.9709 |
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  ### Framework versions
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+ - Transformers 4.36.1
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.15.0
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  - Tokenizers 0.15.0
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