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cbt-rarity-neg-log-rarity-no-cut
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.1065
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 |
|---|---|---|---|
| 6.3456 | 0.29 | 500 | 5.3421 |
| 5.0329 | 0.58 | 1000 | 4.9221 |
| 4.7024 | 0.87 | 1500 | 4.6849 |
| 4.4456 | 1.16 | 2000 | 4.5442 |
| 4.2906 | 1.46 | 2500 | 4.4250 |
| 4.1834 | 1.75 | 3000 | 4.3251 |
| 4.0868 | 2.04 | 3500 | 4.2544 |
| 3.8849 | 2.33 | 4000 | 4.2069 |
| 3.8625 | 2.62 | 4500 | 4.1558 |
| 3.8245 | 2.91 | 5000 | 4.1032 |
| 3.6427 | 3.2 | 5500 | 4.1006 |
| 3.5787 | 3.49 | 6000 | 4.0712 |
| 3.5721 | 3.79 | 6500 | 4.0392 |
| 3.4884 | 4.08 | 7000 | 4.0347 |
| 3.3114 | 4.37 | 7500 | 4.0300 |
| 3.3058 | 4.66 | 8000 | 4.0189 |
| 3.2993 | 4.95 | 8500 | 4.0063 |
| 3.1572 | 5.24 | 9000 | 4.0168 |
| 3.13 | 5.53 | 9500 | 4.0167 |
| 3.1271 | 5.82 | 10000 | 4.0155 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
