eli5-clm-model
This model is a fine-tuned version of distilgpt2 on the eli5_category dataset. It achieves the following results on the evaluation set:
- Loss: 3.8099
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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.9196 | 1.0 | 1316 | 3.8223 |
| 3.827 | 2.0 | 2632 | 3.8108 |
| 3.7849 | 3.0 | 3948 | 3.8099 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1