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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: 0.0076 |
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- Quadruple Accuracy: 0.2846 |
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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: 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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| 0.0553 | 1.0 | 468 | 0.0204 | 0.0030 | |
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| 0.0145 | 2.0 | 936 | 0.0101 | 0.2372 | |
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| 0.0202 | 3.0 | 1404 | 0.0083 | 0.2283 | |
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| 0.0142 | 4.0 | 1872 | 0.0077 | 0.2628 | |
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| 0.0135 | 5.0 | 2340 | 0.0076 | 0.2846 | |
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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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