distilgpt2-eli5-clm
This model is a fine-tuned version of distilbert/distilgpt2 on the eli5_category dataset. It achieves the following results on the evaluation set:
- Loss: 3.8586
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.9079 | 1.0 | 1314 | 3.8563 |
| 3.8119 | 2.0 | 2628 | 3.8461 |
| 3.7662 | 3.0 | 3942 | 3.8420 |
| 3.7062 | 4.0 | 5256 | 3.8437 |
| 3.6726 | 5.0 | 6570 | 3.8460 |
| 3.639 | 6.0 | 7884 | 3.8462 |
| 3.6229 | 7.0 | 9198 | 3.8533 |
| 3.5963 | 8.0 | 10512 | 3.8549 |
| 3.582 | 9.0 | 11826 | 3.8573 |
| 3.5798 | 10.0 | 13140 | 3.8586 |
Framework versions
- Transformers 4.55.2
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.4
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Base model
distilbert/distilgpt2