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--- |
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language: |
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- en |
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base_model: EleutherAI/pile-t5-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- juraj-juraj/python-docstring-human-gpt-generated-mix |
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metrics: |
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- bleu |
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model-index: |
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- name: pile_t5_base_docstring |
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results: |
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- task: |
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name: Translation |
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type: translation |
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dataset: |
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name: juraj-juraj/python-docstring-human-gpt-generated-mix |
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type: juraj-juraj/python-docstring-human-gpt-generated-mix |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 0.0 |
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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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# pile_t5_base_docstring |
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This model is a fine-tuned version of [EleutherAI/pile-t5-base](https://huggingface.co/EleutherAI/pile-t5-base) on the juraj-juraj/python-docstring-human-gpt-generated-mix dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: nan |
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- Bleu: 0.0 |
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- Gen Len: 256.0 |
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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: 1e-05 |
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- train_batch_size: 15 |
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- eval_batch_size: 15 |
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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: 4 |
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### Training results |
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### Framework versions |
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- Transformers 4.39.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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