gpt2_model
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0327
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: 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 | 9 | 0.4230 |
| No log | 2.0 | 18 | 0.2894 |
| No log | 3.0 | 27 | 0.1959 |
| No log | 4.0 | 36 | 0.1219 |
| No log | 5.0 | 45 | 0.0686 |
| No log | 6.0 | 54 | 0.0468 |
| No log | 7.0 | 63 | 0.0402 |
| No log | 8.0 | 72 | 0.0360 |
| No log | 9.0 | 81 | 0.0336 |
| No log | 10.0 | 90 | 0.0327 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1