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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: T5-small |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: T5-OM |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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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: 0.0065 |
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- Quadruple Accuracy: 0.4274 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 10 |
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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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| 0.0528 | 1.0 | 468 | 0.0192 | 0.0091 | |
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| 0.0133 | 2.0 | 936 | 0.0091 | 0.3561 | |
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| 0.0169 | 3.0 | 1404 | 0.0077 | 0.3854 | |
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| 0.0115 | 4.0 | 1872 | 0.0072 | 0.3945 | |
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| 0.0104 | 5.0 | 2340 | 0.0069 | 0.4067 | |
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| 0.0078 | 6.0 | 2808 | 0.0067 | 0.4299 | |
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| 0.0094 | 7.0 | 3276 | 0.0066 | 0.4299 | |
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| 0.0072 | 8.0 | 3744 | 0.0065 | 0.4299 | |
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| 0.0084 | 9.0 | 4212 | 0.0065 | 0.4348 | |
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| 0.0064 | 10.0 | 4680 | 0.0065 | 0.4274 | |
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### Framework versions |
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- Transformers 4.47.0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.3.1 |
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- Tokenizers 0.21.0 |
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