Phase1-Stage1-09072025
This model is a fine-tuned version of Salesforce/codet5p-220m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2037
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: 5e-05
- train_batch_size: 14
- 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: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8635 | 1.0 | 17143 | 2.2441 |
| 1.6955 | 2.0 | 34286 | 2.2037 |
| 1.4893 | 3.0 | 51429 | 2.2189 |
| 1.2882 | 4.0 | 68572 | 2.2668 |
| 1.1095 | 5.0 | 85715 | 2.3284 |
| 0.9821 | 6.0 | 102858 | 2.4098 |
| 0.9139 | 7.0 | 120001 | 2.4960 |
| 0.805 | 8.0 | 137144 | 2.5623 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
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