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README.md
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This model is a fine-tuned version of [VuongQuoc/checkpoints_30_9_microsoft_deberta_V1.0_384](https://huggingface.co/VuongQuoc/checkpoints_30_9_microsoft_deberta_V1.0_384) 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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- Map@3: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Map@3 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
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| 1.5583 | 0.05 | 100 | 1.4269 | 0.7675 | 0.65 |
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| 1.1541 | 0.11 | 200 | 1.
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| 0.8353 | 0.64 | 1200 | 0.
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### Framework versions
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This model is a fine-tuned version of [VuongQuoc/checkpoints_30_9_microsoft_deberta_V1.0_384](https://huggingface.co/VuongQuoc/checkpoints_30_9_microsoft_deberta_V1.0_384) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7688
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- Map@3: 0.8458
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- Accuracy: 0.75
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Map@3 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
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| 1.5583 | 0.05 | 100 | 1.4269 | 0.7675 | 0.65 |
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| 1.1541 | 0.11 | 200 | 1.0838 | 0.7692 | 0.67 |
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| 1.0124 | 0.16 | 300 | 0.9475 | 0.8108 | 0.715 |
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| 0.9627 | 0.21 | 400 | 0.8969 | 0.8233 | 0.73 |
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| 0.9241 | 0.27 | 500 | 0.8473 | 0.8392 | 0.755 |
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| 0.885 | 0.32 | 600 | 0.8336 | 0.8333 | 0.745 |
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| 0.8606 | 0.37 | 700 | 0.7937 | 0.8508 | 0.76 |
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| 0.8495 | 0.43 | 800 | 0.7755 | 0.8517 | 0.76 |
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| 0.8787 | 0.48 | 900 | 0.7706 | 0.8475 | 0.75 |
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| 0.8535 | 0.53 | 1000 | 0.7714 | 0.8458 | 0.75 |
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| 0.8499 | 0.59 | 1100 | 0.7694 | 0.8458 | 0.75 |
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| 0.8353 | 0.64 | 1200 | 0.7688 | 0.8458 | 0.75 |
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### Framework versions
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pytorch_model.bin
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