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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+cu121
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- Datasets 2.
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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: 0.4838
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- Accuracy: 0.224
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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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| 6.0046 | 1.0 | 250 | 1.3356 | 0.008 |
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| 1.8352 | 2.0 | 500 | 0.9395 | 0.082 |
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| 1.2215 | 3.0 | 750 | 0.7493 | 0.13 |
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| 0.9711 | 4.0 | 1000 | 0.6537 | 0.162 |
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| 0.8269 | 5.0 | 1250 | 0.5908 | 0.176 |
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| 0.741 | 6.0 | 1500 | 0.5548 | 0.19 |
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| 0.6896 | 7.0 | 1750 | 0.5377 | 0.194 |
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| 0.651 | 8.0 | 2000 | 0.5198 | 0.21 |
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| 0.627 | 9.0 | 2250 | 0.5086 | 0.224 |
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| 0.606 | 10.0 | 2500 | 0.5006 | 0.228 |
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| 0.5849 | 11.0 | 2750 | 0.4948 | 0.232 |
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| 0.5733 | 12.0 | 3000 | 0.4928 | 0.23 |
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| 0.5607 | 13.0 | 3250 | 0.4851 | 0.224 |
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| 0.5599 | 14.0 | 3500 | 0.4842 | 0.222 |
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| 0.5584 | 15.0 | 3750 | 0.4838 | 0.224 |
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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 2.16.1
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- Tokenizers 0.15.0
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