Trong-Nghia commited on
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End of training

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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 [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6870
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- - Accuracy: 0.705
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- - F1: 0.7750
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  ## Model description
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@@ -38,7 +38,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | No log | 1.0 | 376 | 0.5758 | 0.675 | 0.7863 |
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- | 0.6263 | 2.0 | 752 | 0.5746 | 0.741 | 0.8063 |
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- | 0.5743 | 3.0 | 1128 | 0.6471 | 0.7 | 0.7970 |
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- | 0.4916 | 4.0 | 1504 | 0.5726 | 0.728 | 0.7943 |
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- | 0.4916 | 5.0 | 1880 | 0.6870 | 0.705 | 0.7750 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5551
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+ - Accuracy: 0.74
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+ - F1: 0.8097
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-06
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 376 | 0.5390 | 0.751 | 0.8258 |
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+ | 0.6156 | 2.0 | 752 | 0.5483 | 0.763 | 0.8276 |
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+ | 0.5787 | 3.0 | 1128 | 0.5385 | 0.761 | 0.8284 |
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+ | 0.5494 | 4.0 | 1504 | 0.5474 | 0.743 | 0.8120 |
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+ | 0.5494 | 5.0 | 1880 | 0.5551 | 0.74 | 0.8097 |
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  ### Framework versions
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