codet5-wikisql-run2
This model is a fine-tuned version of Salesforce/codet5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0859
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- 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: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1602 | 1.0 | 3523 | 0.1191 |
| 0.125 | 2.0 | 7046 | 0.1038 |
| 0.1121 | 3.0 | 10569 | 0.0949 |
| 0.0983 | 4.0 | 14092 | 0.0914 |
| 0.0943 | 5.0 | 17615 | 0.0891 |
| 0.0954 | 6.0 | 21138 | 0.0866 |
| 0.081 | 7.0 | 24661 | 0.0859 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.3
- Pytorch 2.10.0+cu128
- Datasets 3.0.2
- Tokenizers 0.20.3
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Base model
Salesforce/codet5-base