gpt2-c4-sub-200k-8-ep
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.5433
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.7968 | 1.0 | 16485 | 4.6606 |
| 4.2632 | 2.0 | 32970 | 4.1290 |
| 3.9737 | 3.0 | 49455 | 3.8507 |
| 3.8046 | 4.0 | 65940 | 3.7127 |
| 3.7157 | 5.0 | 82425 | 3.6343 |
| 3.6487 | 6.0 | 98910 | 3.5849 |
| 3.6225 | 7.0 | 115395 | 3.5542 |
| 3.6026 | 8.0 | 131880 | 3.5433 |
Framework versions
- Transformers 5.8.0
- Pytorch 2.11.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2