CSNPython-ds
This model is a fine-tuned version of gpt2 on the code_search_net dataset. It achieves the following results on the evaluation set:
- Loss: 6.6874
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.4592 | 1.0 | 115 | 7.4196 |
| 7.1195 | 2.0 | 230 | 6.8341 |
| 6.7062 | 3.0 | 345 | 6.6874 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.13.1+cu117
- Datasets 2.13.2
- Tokenizers 0.13.3
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