| --- |
| license: bsd-3-clause |
| library_name: peft |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| base_model: Salesforce/codegen-350M-mono |
| model-index: |
| - name: codegen |
| results: [] |
| metrics: |
| - rougeL - 0.41 |
| pipeline_tag: text-generation |
| --- |
| |
| <!-- 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. --> |
|
|
| # codegen |
|
|
| This model is a fine-tuned version of [Salesforce/codegen-350M-mono](https://huggingface.co/Salesforce/codegen-350M-mono) on the python dataset. |
|
|
| ## 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: 0.0005 |
| - train_batch_size: 1 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - num_epochs: 6 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
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| ### Framework versions |
|
|
| - PEFT 0.10.1.dev0 |
| - Transformers 4.38.2 |
| - Pytorch 2.0.0 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
