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End of training
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README.md
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) 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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- 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 | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2211
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- Accuracy: 0.758
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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: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.9386 | 1.0 | 250 | 0.5169 | 0.622 |
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| 0.6505 | 2.0 | 500 | 0.4347 | 0.672 |
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| 0.6135 | 3.0 | 750 | 0.3889 | 0.686 |
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| 0.5125 | 4.0 | 1000 | 0.3268 | 0.698 |
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| 0.4423 | 5.0 | 1250 | 0.3011 | 0.712 |
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| 0.3973 | 6.0 | 1500 | 0.2919 | 0.726 |
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| 0.3701 | 7.0 | 1750 | 0.2713 | 0.73 |
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| 0.337 | 8.0 | 2000 | 0.2540 | 0.738 |
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| 0.326 | 9.0 | 2250 | 0.2502 | 0.744 |
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| 0.2946 | 10.0 | 2500 | 0.2383 | 0.744 |
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| 0.2866 | 11.0 | 2750 | 0.2309 | 0.75 |
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| 0.2789 | 12.0 | 3000 | 0.2304 | 0.754 |
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| 0.2701 | 13.0 | 3250 | 0.2260 | 0.762 |
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| 0.2612 | 14.0 | 3500 | 0.2226 | 0.76 |
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| 0.2576 | 15.0 | 3750 | 0.2211 | 0.758 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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