distilgpt2_private-finetuned-econometrics
This model is a fine-tuned version of chinhang0104/distilgpt2_private on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6116
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 |
|---|---|---|---|
| 1.8829 | 1.0 | 1250 | 0.5974 |
| 1.7968 | 2.0 | 2500 | 0.6073 |
| 1.8071 | 3.0 | 3750 | 0.6116 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.13.3