science
This model is a fine-tuned version of theta/gpt2-reporter on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8666
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: 5e-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
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.8994 | 1.61 | 400 | 2.9467 |
| 1.8934 | 3.23 | 800 | 3.5137 |
| 1.1945 | 4.84 | 1200 | 3.8666 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Tokenizers 0.13.3