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: 3.7809
- Token Accuracy: 0.2998
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Token Accuracy |
|---|---|---|---|---|
| 3.9133 | 1.0 | 1309 | 3.7926 | 0.2984 |
| 3.8244 | 2.0 | 2618 | 3.7822 | 0.2997 |
| 3.7886 | 3.0 | 3927 | 3.7809 | 0.2998 |
Framework versions
- Transformers 5.14.1
- Pytorch 2.13.0+cu132
- Datasets 5.0.0
- Tokenizers 0.22.2