distilgpt2-finetuned-tazar
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7272
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 |
|---|---|---|---|
| No log | 1.0 | 330 | 1.7004 |
| 1.3379 | 2.0 | 660 | 1.7295 |
| 1.3379 | 3.0 | 990 | 1.7272 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0
- Datasets 2.2.1
- Tokenizers 0.11.6