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cbt-guten-norm-rarity-log-rarity-mixed
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.1158
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 |
|---|---|---|---|
| 6.3451 | 0.29 | 500 | 5.3393 |
| 5.0397 | 0.58 | 1000 | 4.9206 |
| 4.711 | 0.87 | 1500 | 4.6904 |
| 4.4458 | 1.17 | 2000 | 4.5517 |
| 4.2933 | 1.46 | 2500 | 4.4297 |
| 4.2024 | 1.75 | 3000 | 4.3324 |
| 4.0876 | 2.04 | 3500 | 4.2618 |
| 3.8969 | 2.33 | 4000 | 4.2227 |
| 3.878 | 2.62 | 4500 | 4.1608 |
| 3.83 | 2.91 | 5000 | 4.1117 |
| 3.6525 | 3.21 | 5500 | 4.1057 |
| 3.5976 | 3.5 | 6000 | 4.0782 |
| 3.5747 | 3.79 | 6500 | 4.0477 |
| 3.4836 | 4.08 | 7000 | 4.0427 |
| 3.3253 | 4.37 | 7500 | 4.0383 |
| 3.314 | 4.66 | 8000 | 4.0252 |
| 3.3077 | 4.95 | 8500 | 4.0114 |
| 3.1614 | 5.24 | 9000 | 4.0230 |
| 3.1426 | 5.54 | 9500 | 4.0231 |
| 3.1402 | 5.83 | 10000 | 4.0225 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
