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distilgpt2-finetuned-python-stack-clean-answers-e10
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3318
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 28 | 3.7900 |
| No log | 2.0 | 56 | 3.6846 |
| No log | 3.0 | 84 | 3.5965 |
| No log | 4.0 | 112 | 3.5271 |
| No log | 5.0 | 140 | 3.4656 |
| No log | 6.0 | 168 | 3.4170 |
| No log | 7.0 | 196 | 3.3794 |
| No log | 8.0 | 224 | 3.3529 |
| No log | 9.0 | 252 | 3.3367 |
| No log | 10.0 | 280 | 3.3318 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
