| --- |
| license: apache-2.0 |
| base_model: Salesforce/codet5-small |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: codet5-small-Generate-docstrings-for-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-for-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: 2.1105 |
| - Rouge1: 0.3307 |
| - Rouge2: 0.16 |
| - Rougel: 0.297 |
| - Rougelsum: 0.3149 |
| - Gen Len: 16.7441 |
|
|
| ## 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 | |
| |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
| | 2.7701 | 1.0 | 4472 | 2.3322 | 0.3225 | 0.1525 | 0.2894 | 0.3067 | 16.3153 | |
| | 2.4907 | 2.0 | 8944 | 2.2464 | 0.328 | 0.1555 | 0.293 | 0.3119 | 17.0097 | |
| | 2.405 | 3.0 | 13416 | 2.2004 | 0.3267 | 0.1562 | 0.2934 | 0.311 | 16.4531 | |
| | 2.3512 | 4.0 | 17888 | 2.1696 | 0.3292 | 0.1571 | 0.2944 | 0.3134 | 17.3872 | |
| | 2.3144 | 5.0 | 22360 | 2.1503 | 0.3293 | 0.1586 | 0.2954 | 0.3137 | 16.932 | |
| | 2.2862 | 6.0 | 26832 | 2.1355 | 0.3307 | 0.1588 | 0.2962 | 0.3149 | 17.0269 | |
| | 2.2666 | 7.0 | 31304 | 2.1246 | 0.33 | 0.1594 | 0.2962 | 0.3144 | 16.7064 | |
| | 2.2514 | 8.0 | 35776 | 2.1163 | 0.3305 | 0.1595 | 0.2968 | 0.3145 | 16.4765 | |
| | 2.2401 | 9.0 | 40248 | 2.1120 | 0.3305 | 0.1595 | 0.2967 | 0.3147 | 16.763 | |
| | 2.2333 | 10.0 | 44720 | 2.1105 | 0.3307 | 0.16 | 0.297 | 0.3149 | 16.7441 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.33.0.dev0 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.4.dev0 |
| - Tokenizers 0.13.3 |
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|
