End of training
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README.md
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# T5-OM
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This model is a fine-tuned version of [T5-small](https://huggingface.co/T5-small) on the None dataset.
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## Model description
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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:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Quadruple Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:------------------:|
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### Framework versions
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# T5-OM
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This model is a fine-tuned version of [T5-small](https://huggingface.co/T5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 20.7930
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- Quadruple Accuracy: 0.0
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## Model description
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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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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Quadruple Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:------------------:|
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| 23.9299 | 1.0 | 3 | 26.0821 | 0.0 |
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| 23.6638 | 2.0 | 6 | 24.8880 | 0.0 |
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| 23.316 | 3.0 | 9 | 23.1608 | 0.0 |
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| 21.0034 | 4.0 | 12 | 22.3881 | 0.0 |
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| 20.0308 | 5.0 | 15 | 20.7930 | 0.0 |
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### Framework versions
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