| | --- |
| | license: apache-2.0 |
| | base_model: Salesforce/codet5-small |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: codet5-small-generate-docstrings-codexglue-python-bs-32 |
| | 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-small-generate-docstrings-codexglue-python-bs-32 |
| |
|
| | This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.0595 |
| | - Rouge1: 0.3535 |
| | - Rouge2: 0.1748 |
| | - Rougel: 0.3195 |
| | - Rougelsum: 0.336 |
| | - Gen Len: 16.1317 |
| |
|
| | ## 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: 2e-05 |
| | - train_batch_size: 32 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| | |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
| | | 2.6758 | 1.0 | 5952 | 2.2761 | 0.3458 | 0.1674 | 0.312 | 0.329 | 16.375 | |
| | | 2.4212 | 2.0 | 11904 | 2.1955 | 0.3471 | 0.1698 | 0.3143 | 0.33 | 15.3815 | |
| | | 2.3395 | 3.0 | 17856 | 2.1480 | 0.3501 | 0.1715 | 0.3159 | 0.3329 | 16.4806 | |
| | | 2.2889 | 4.0 | 23808 | 2.1198 | 0.3506 | 0.1722 | 0.3167 | 0.3333 | 15.974 | |
| | | 2.252 | 5.0 | 29760 | 2.0984 | 0.3524 | 0.1738 | 0.3184 | 0.3351 | 16.2197 | |
| | | 2.226 | 6.0 | 35712 | 2.0851 | 0.3518 | 0.1736 | 0.3182 | 0.3345 | 15.9882 | |
| | | 2.2047 | 7.0 | 41664 | 2.0746 | 0.3521 | 0.1738 | 0.3185 | 0.3348 | 16.2078 | |
| | | 2.1894 | 8.0 | 47616 | 2.0654 | 0.3532 | 0.1748 | 0.3194 | 0.3357 | 16.1077 | |
| | | 2.1798 | 9.0 | 53568 | 2.0617 | 0.3528 | 0.1749 | 0.3192 | 0.3355 | 16.0418 | |
| | | 2.1732 | 10.0 | 59520 | 2.0595 | 0.3535 | 0.1748 | 0.3195 | 0.336 | 16.1317 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.33.0.dev0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.4.dev0 |
| | - Tokenizers 0.13.3 |
| |
|
