| | --- |
| | language: |
| | - en |
| | base_model: EleutherAI/pile-t5-base |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - juraj-juraj/python-docstring-human-gpt-generated-mix |
| | metrics: |
| | - bleu |
| | model-index: |
| | - name: pile_t5_base_docstring |
| | results: |
| | - task: |
| | name: Translation |
| | type: translation |
| | dataset: |
| | name: juraj-juraj/python-docstring-human-gpt-generated-mix |
| | type: juraj-juraj/python-docstring-human-gpt-generated-mix |
| | metrics: |
| | - name: Bleu |
| | type: bleu |
| | value: 0.0 |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # pile_t5_base_docstring |
| | |
| | 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. |
| | It achieves the following results on the evaluation set: |
| | - Loss: nan |
| | - Bleu: 0.0 |
| | - Gen Len: 256.0 |
| | |
| | ## Model description |
| | |
| | More information needed |
| | |
| | ## Intended uses & limitations |
| | |
| | More information needed |
| | |
| | ## Training and evaluation data |
| | |
| | More information needed |
| | |
| | ## Training procedure |
| | |
| | ### Training hyperparameters |
| | |
| | The following hyperparameters were used during training: |
| | - learning_rate: 1e-05 |
| | - train_batch_size: 15 |
| | - eval_batch_size: 15 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 4 |
| | |
| | ### Training results |
| | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.39.2 |
| | - Pytorch 2.1.2+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| | |
