codet5-small-finetuned
This model is a fine-tuned version of Salesforce/codet5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0034
- Bleu: 0.4086
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 1.9367 | 1.0 | 253 | 1.3766 | 0.3113 |
| 1.2487 | 2.0 | 506 | 1.1884 | 0.3365 |
| 1.0377 | 3.0 | 759 | 1.0994 | 0.3553 |
| 0.9183 | 4.0 | 1012 | 1.0610 | 0.3747 |
| 0.8267 | 5.0 | 1265 | 1.0328 | 0.3893 |
| 0.7586 | 6.0 | 1518 | 1.0161 | 0.3943 |
| 0.7087 | 7.0 | 1771 | 1.0106 | 0.3897 |
| 0.6666 | 8.0 | 2024 | 1.0063 | 0.4036 |
| 0.6359 | 9.0 | 2277 | 1.0024 | 0.4059 |
| 0.6173 | 10.0 | 2530 | 1.0034 | 0.4086 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
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Salesforce/codet5-small