| --- |
| license: apache-2.0 |
| base_model: Salesforce/codet5-small |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: codet5-small-ft-v5 |
| 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-ft-v5 |
|
|
| 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: 2.2463 |
| - Rouge1: 65.8333 |
| - Rouge2: 56.2963 |
| - Rougel: 65.6481 |
| - Rougelsum: 65.5556 |
| - Gen Len: 12.3333 |
|
|
| ## 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: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 4 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
| | No log | 1.0 | 8 | 3.3878 | 36.9391 | 29.7138 | 36.367 | 36.2452 | 16.5278 | |
| | No log | 2.0 | 16 | 2.6133 | 61.7593 | 52.7981 | 61.8981 | 61.3889 | 12.1111 | |
| | No log | 3.0 | 24 | 2.3167 | 61.0185 | 51.7328 | 61.0185 | 60.5556 | 11.8611 | |
| | No log | 4.0 | 32 | 2.2463 | 65.8333 | 56.2963 | 65.6481 | 65.5556 | 12.3333 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.38.0.dev0 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
|
|
