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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-base |
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tags: |
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- generated_from_trainer |
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- code-fixing |
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- bug-detection |
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- t5 |
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- code-repair |
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- python |
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- syntax-fix |
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- ai-debugger |
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model-index: |
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- name: t5-model |
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results: [] |
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datasets: |
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- codeparrot/github-code |
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- codeparrot/github-code-clean |
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- bigcode/the-stack |
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language: |
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- th |
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- en |
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metrics: |
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- accuracy |
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- bleu |
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pipeline_tag: text2text-generation |
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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-model |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset. |
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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: 5e-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 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: linear |
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- num_epochs: 5 |
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### Training results |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
