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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: 0.32
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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: 0.4462
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- Accuracy: 0.32
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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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| 6.6376 | 1.0 | 250 | 1.2577 | 0.004 |
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| 1.6709 | 2.0 | 500 | 0.8265 | 0.088 |
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| 1.0413 | 3.0 | 750 | 0.6782 | 0.144 |
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| 0.8324 | 4.0 | 1000 | 0.5901 | 0.222 |
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| 0.7187 | 5.0 | 1250 | 0.5476 | 0.246 |
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| 0.6556 | 6.0 | 1500 | 0.5215 | 0.276 |
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| 0.6089 | 7.0 | 1750 | 0.5028 | 0.274 |
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| 0.5736 | 8.0 | 2000 | 0.4930 | 0.304 |
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| 0.5385 | 9.0 | 2250 | 0.4695 | 0.296 |
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| 0.5195 | 10.0 | 2500 | 0.4650 | 0.304 |
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| 0.5073 | 11.0 | 2750 | 0.4571 | 0.304 |
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| 0.4895 | 12.0 | 3000 | 0.4491 | 0.306 |
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| 0.4836 | 13.0 | 3250 | 0.4495 | 0.316 |
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| 0.4745 | 14.0 | 3500 | 0.4460 | 0.318 |
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| 0.4736 | 15.0 | 3750 | 0.4462 | 0.32 |
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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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