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Text Classification
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Safetensors
roberta
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  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. runs/Dec13_15-46-43_5eb01ada6583/events.out.tfevents.1702482404.5eb01ada6583.25016.0 +2 -2
  4. runs/Dec13_15-46-43_5eb01ada6583/events.out.tfevents.1702482624.5eb01ada6583.25016.1 +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: 0.1123
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- - Accuracy: 0.9762
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  ## Model description
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@@ -48,16 +48,16 @@ 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 | 95 | 1.0711 | 0.8386 |
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- | No log | 2.0 | 190 | 0.5620 | 0.9286 |
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- | No log | 3.0 | 285 | 0.2919 | 0.9471 |
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- | No log | 4.0 | 380 | 0.1902 | 0.9550 |
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- | No log | 5.0 | 475 | 0.1740 | 0.9656 |
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- | 0.6945 | 6.0 | 570 | 0.1462 | 0.9709 |
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- | 0.6945 | 7.0 | 665 | 0.1347 | 0.9735 |
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- | 0.6945 | 8.0 | 760 | 0.1146 | 0.9762 |
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- | 0.6945 | 9.0 | 855 | 0.1154 | 0.9762 |
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- | 0.6945 | 10.0 | 950 | 0.1123 | 0.9762 |
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  ### Framework versions
 
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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: 0.2895
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+ - Accuracy: 0.9434
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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 | 93 | 1.1467 | 0.7871 |
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+ | No log | 2.0 | 186 | 0.5867 | 0.9057 |
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+ | No log | 3.0 | 279 | 0.3947 | 0.9272 |
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+ | No log | 4.0 | 372 | 0.3269 | 0.9407 |
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+ | No log | 5.0 | 465 | 0.3065 | 0.9407 |
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+ | 0.7171 | 6.0 | 558 | 0.2895 | 0.9434 |
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+ | 0.7171 | 7.0 | 651 | 0.2980 | 0.9407 |
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+ | 0.7171 | 8.0 | 744 | 0.3061 | 0.9407 |
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+ | 0.7171 | 9.0 | 837 | 0.3153 | 0.9407 |
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+ | 0.7171 | 10.0 | 930 | 0.3177 | 0.9407 |
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  ### Framework versions
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