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ThuyNT03
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PhoBERT-Final_VietNam-train

Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Inference Endpoints
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ThuyNT03 commited on
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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: 0.8485
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- - Accuracy: 0.72
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- - F1: 0.7286
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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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- | 1.0028 | 1.0 | 44 | 0.7954 | 0.74 | 0.7308 |
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- | 0.6793 | 2.0 | 88 | 0.6225 | 0.73 | 0.7309 |
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- | 0.512 | 3.0 | 132 | 0.6529 | 0.75 | 0.7527 |
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- | 0.4119 | 4.0 | 176 | 0.7080 | 0.73 | 0.7264 |
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- | 0.3267 | 5.0 | 220 | 0.7347 | 0.72 | 0.7309 |
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- | 0.2618 | 6.0 | 264 | 0.8040 | 0.73 | 0.7398 |
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- | 0.2485 | 7.0 | 308 | 0.8175 | 0.73 | 0.7389 |
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- | 0.2287 | 8.0 | 352 | 0.8485 | 0.72 | 0.7286 |
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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: 0.9138
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+ - Accuracy: 0.7
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+ - F1: 0.7075
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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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+ | 1.0279 | 1.0 | 44 | 0.8516 | 0.72 | 0.6966 |
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+ | 0.7329 | 2.0 | 88 | 0.7172 | 0.74 | 0.7274 |
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+ | 0.5587 | 3.0 | 132 | 0.7033 | 0.73 | 0.7274 |
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+ | 0.4356 | 4.0 | 176 | 0.7519 | 0.7 | 0.7046 |
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+ | 0.3429 | 5.0 | 220 | 0.7372 | 0.71 | 0.7159 |
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+ | 0.27 | 6.0 | 264 | 0.8128 | 0.7 | 0.6991 |
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+ | 0.2487 | 7.0 | 308 | 0.8904 | 0.73 | 0.7314 |
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+ | 0.2058 | 8.0 | 352 | 0.9138 | 0.7 | 0.7075 |
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  ### Framework versions
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