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all-base-miss-gutenberg_fixed-seed
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.1631
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: 0.0005
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.2558 | 0.32 | 500 | 5.3460 |
| 4.9356 | 0.64 | 1000 | 4.9382 |
| 4.6233 | 0.97 | 1500 | 4.7011 |
| 4.341 | 1.29 | 2000 | 4.5608 |
| 4.2105 | 1.61 | 2500 | 4.4369 |
| 4.1063 | 1.93 | 3000 | 4.3306 |
| 3.8899 | 2.26 | 3500 | 4.2803 |
| 3.833 | 2.58 | 4000 | 4.2192 |
| 3.7885 | 2.9 | 4500 | 4.1609 |
| 3.598 | 3.22 | 5000 | 4.1504 |
| 3.5359 | 3.55 | 5500 | 4.1165 |
| 3.5167 | 3.87 | 6000 | 4.0823 |
| 3.3574 | 4.19 | 6500 | 4.0887 |
| 3.263 | 4.51 | 7000 | 4.0746 |
| 3.2492 | 4.84 | 7500 | 4.0598 |
| 3.1692 | 5.16 | 8000 | 4.0661 |
| 3.0783 | 5.48 | 8500 | 4.0664 |
| 3.0763 | 5.8 | 9000 | 4.0653 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
