gpt-neo-125m-finetuned-python-purpose
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on flytech/python-codes-25k. It achieves the following results on the evaluation set:
- Loss: 0.5111
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: 0.0003
- train_batch_size: 2
- eval_batch_size: 2
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0668 | 1.0 | 16465 | 1.0478 |
| 0.7091 | 2.0 | 32930 | 0.8226 |
| 0.3594 | 3.0 | 49395 | 0.6467 |
| 0.1542 | 4.0 | 65860 | 0.5474 |
| 0.044 | 5.0 | 82325 | 0.5111 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.4.1+cu121
- Datasets 4.4.1
- Tokenizers 0.22.1