results_stage1
This model is a fine-tuned version of Salesforce/codet5p-770m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 8.4104
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: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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: 3
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 40 | 9.4289 |
No log | 2.0 | 80 | 8.7898 |
No log | 3.0 | 120 | 8.4104 |
Framework versions
- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for chriswilde006/results_stage1
Base model
Salesforce/codet5p-770m