my_awesome_eli5_clm-model
This model is a fine-tuned version of distilbert/distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8468
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: 0.0001
- 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.8081 | 1.0 | 1315 | 3.8101 |
| 3.5948 | 2.0 | 2630 | 3.8139 |
| 3.4542 | 3.0 | 3945 | 3.8316 |
| 3.3781 | 4.0 | 5260 | 3.8468 |
Framework versions
- Transformers 5.10.2
- Pytorch 2.12.0+cu130
- Datasets 5.0.0
- Tokenizers 0.22.2