codet5-fine-tuned
This model is a fine-tuned version of Salesforce/codet5p-220m-py on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1204
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: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 0.98 | 28 | 0.1244 |
No log | 2.0 | 57 | 0.1198 |
No log | 2.98 | 85 | 0.1191 |
0.103 | 3.93 | 112 | 0.1204 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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