| --- |
| library_name: peft |
| license: apache-2.0 |
| base_model: Salesforce/codet5-small |
| tags: |
| - base_model:adapter:Salesforce/codet5-small |
| - lora |
| - transformers |
| metrics: |
| - rouge |
| model-index: |
| - name: codet5-python-summarizer-v3 |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # codet5-python-summarizer-v3 |
|
|
| This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0107 |
| - Rouge1: 0.9856 |
| - Rouge2: 0.9796 |
| - Rougel: 0.9856 |
| - Rougelsum: 0.9856 |
|
|
| ## 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: 5e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 3 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
| | 0.0298 | 1.0 | 1230 | 0.0146 | 0.9812 | 0.9741 | 0.9811 | 0.9812 | |
| | 0.0153 | 2.0 | 2460 | 0.0116 | 0.9855 | 0.9794 | 0.9855 | 0.9854 | |
| | 0.0236 | 3.0 | 3690 | 0.0107 | 0.9856 | 0.9796 | 0.9856 | 0.9856 | |
|
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|
|
| ### Framework versions |
|
|
| - PEFT 0.18.1 |
| - Transformers 4.44.2 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.19.1 |
