java-to-python-assistant
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: 0.0000
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1106 | 1.0 | 563 | 0.0000 |
| 0.001 | 2.0 | 1126 | 0.0000 |
| 0.0011 | 3.0 | 1689 | 0.0000 |
| 0.0002 | 4.0 | 2252 | 0.0000 |
| 0.0001 | 5.0 | 2815 | 0.0000 |
| 0.0001 | 6.0 | 3378 | 0.0000 |
| 0.0001 | 7.0 | 3941 | 0.0000 |
| 0.0 | 8.0 | 4504 | 0.0000 |
| 0.0005 | 9.0 | 5067 | 0.0000 |
| 0.0 | 10.0 | 5630 | 0.0000 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.2
- Tokenizers 0.22.1
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Model tree for anithra/java-to-python-assistant
Base model
Salesforce/codet5-base