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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: google-t5/t5-small |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: op_hunter_conservation_gc_function_t5_small |
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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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# op_hunter_conservation_gc_function_t5_small |
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3915 |
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- Accuracy: 0.8465 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 0 |
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- optimizer: Use OptimizerNames.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: polynomial |
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- num_epochs: 18 |
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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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| No log | 1.0 | 357 | 0.6829 | 0.5834 | |
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| 0.6954 | 2.0 | 714 | 0.5832 | 0.7296 | |
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| 0.6219 | 3.0 | 1071 | 0.5836 | 0.7065 | |
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| 0.6219 | 4.0 | 1428 | 0.5057 | 0.7515 | |
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| 0.4778 | 5.0 | 1785 | 0.4011 | 0.8331 | |
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| 0.4073 | 6.0 | 2142 | 0.3593 | 0.8575 | |
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| 0.4073 | 7.0 | 2499 | 0.3976 | 0.8441 | |
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| 0.3739 | 8.0 | 2856 | 0.3873 | 0.8465 | |
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| 0.3619 | 9.0 | 3213 | 0.4043 | 0.8465 | |
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| 0.3567 | 10.0 | 3570 | 0.4077 | 0.8417 | |
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| 0.3567 | 11.0 | 3927 | 0.3988 | 0.8380 | |
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| 0.3536 | 12.0 | 4284 | 0.3915 | 0.8441 | |
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| 0.3472 | 13.0 | 4641 | 0.3895 | 0.8441 | |
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| 0.3472 | 14.0 | 4998 | 0.3892 | 0.8441 | |
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| 0.3555 | 15.0 | 5355 | 0.3978 | 0.8453 | |
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| 0.3516 | 16.0 | 5712 | 0.3896 | 0.8477 | |
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| 0.3414 | 17.0 | 6069 | 0.3935 | 0.8490 | |
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| 0.3414 | 18.0 | 6426 | 0.3915 | 0.8465 | |
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### Framework versions |
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- Transformers 4.48.2 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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