End of training
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README.md
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This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- F1: 0.
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- Roc Auc: 0.
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- Accuracy: 0.
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step
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| 0.
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### Framework versions
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This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2549
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- F1: 0.7177
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- Roc Auc: 0.8111
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- Accuracy: 0.6724
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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|:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|:--------:|
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| 0.2526 | 1.0 | 73895 | 0.2578 | 0.7127 | 0.8065 | 0.6596 |
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| 0.2367 | 2.0 | 147790 | 0.2549 | 0.7177 | 0.8111 | 0.6724 |
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### Framework versions
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runs/Jul17_03-15-31_3429fe67e180/events.out.tfevents.1721186134.3429fe67e180.35.0
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