distilgpt2-fda
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7315
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1223 | 1.0 | 7958 | 2.9579 |
| 2.9033 | 2.0 | 15916 | 2.7765 |
| 2.8392 | 3.0 | 23874 | 2.7315 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.11.0+cu115
- Datasets 2.7.1
- Tokenizers 0.13.2