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ThuyNT03
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PhoBERT-Final_Mixed-train-1

Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Inference Endpoints
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Training completed!

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  1. README.md +11 -11
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,9 +17,9 @@ 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: 0.8188
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- - Accuracy: 0.73
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- - F1: 0.7378
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 1.0133 | 1.0 | 44 | 0.8341 | 0.65 | 0.5689 |
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- | 0.6991 | 2.0 | 88 | 0.6772 | 0.72 | 0.7135 |
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- | 0.5299 | 3.0 | 132 | 0.6480 | 0.76 | 0.7618 |
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- | 0.3947 | 4.0 | 176 | 0.6625 | 0.73 | 0.7405 |
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- | 0.327 | 5.0 | 220 | 0.7117 | 0.74 | 0.7493 |
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- | 0.2387 | 6.0 | 264 | 0.7846 | 0.71 | 0.7218 |
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- | 0.2387 | 7.0 | 308 | 0.8087 | 0.73 | 0.7400 |
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- | 0.1733 | 8.0 | 352 | 0.8188 | 0.73 | 0.7378 |
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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: 0.8720
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+ - Accuracy: 0.71
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+ - F1: 0.7085
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 1.0125 | 1.0 | 44 | 0.8552 | 0.63 | 0.5142 |
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+ | 0.7443 | 2.0 | 88 | 0.6888 | 0.7 | 0.6941 |
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+ | 0.5851 | 3.0 | 132 | 0.6873 | 0.72 | 0.7164 |
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+ | 0.4457 | 4.0 | 176 | 0.7423 | 0.7 | 0.7021 |
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+ | 0.374 | 5.0 | 220 | 0.7960 | 0.71 | 0.7019 |
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+ | 0.2885 | 6.0 | 264 | 0.8073 | 0.7 | 0.7016 |
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+ | 0.2711 | 7.0 | 308 | 0.8329 | 0.71 | 0.7088 |
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+ | 0.2317 | 8.0 | 352 | 0.8720 | 0.71 | 0.7085 |
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  ### Framework versions
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