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takanami12
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fine-tuning_BARTPho

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mbart
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End of training

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  1. README.md +12 -7
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -19,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [vinai/bartpho-word](https://huggingface.co/vinai/bartpho-word) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2127
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  - Accuracy: 0.014
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  - F1: 0.0011
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@@ -46,17 +46,22 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 3.7503 | 1.0 | 125 | 1.3938 | 0.016 | 0.0025 |
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- | 1.3462 | 2.0 | 250 | 1.2564 | 0.014 | 0.0011 |
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- | 1.2567 | 3.0 | 375 | 1.2304 | 0.014 | 0.0011 |
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- | 1.2219 | 4.0 | 500 | 1.2186 | 0.01 | 0.0009 |
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- | 1.1252 | 5.0 | 625 | 1.2127 | 0.014 | 0.0011 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [vinai/bartpho-word](https://huggingface.co/vinai/bartpho-word) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1876
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  - Accuracy: 0.014
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  - F1: 0.0011
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 3.7202 | 1.0 | 125 | 1.3840 | 0.016 | 0.0018 |
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+ | 1.3287 | 2.0 | 250 | 1.2517 | 0.014 | 0.0011 |
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+ | 1.2451 | 3.0 | 375 | 1.2197 | 0.016 | 0.0015 |
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+ | 1.2059 | 4.0 | 500 | 1.2077 | 0.014 | 0.0011 |
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+ | 1.105 | 5.0 | 625 | 1.2053 | 0.014 | 0.0011 |
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+ | 1.1054 | 6.0 | 750 | 1.1893 | 0.018 | 0.0015 |
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+ | 1.1207 | 7.0 | 875 | 1.1881 | 0.022 | 0.0045 |
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+ | 1.1011 | 8.0 | 1000 | 1.1857 | 0.016 | 0.0025 |
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+ | 1.0578 | 9.0 | 1125 | 1.1877 | 0.016 | 0.0031 |
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+ | 1.0836 | 10.0 | 1250 | 1.1876 | 0.014 | 0.0011 |
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  ### Framework versions
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