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guten
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.1054
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 |
|---|---|---|---|
| 6.3418 | 0.29 | 500 | 5.3350 |
| 5.0312 | 0.58 | 1000 | 4.9322 |
| 4.6974 | 0.87 | 1500 | 4.6839 |
| 4.4435 | 1.17 | 2000 | 4.5502 |
| 4.2915 | 1.46 | 2500 | 4.4247 |
| 4.1863 | 1.75 | 3000 | 4.3206 |
| 4.0756 | 2.04 | 3500 | 4.2468 |
| 3.89 | 2.33 | 4000 | 4.2082 |
| 3.8602 | 2.62 | 4500 | 4.1531 |
| 3.8239 | 2.91 | 5000 | 4.1034 |
| 3.6381 | 3.21 | 5500 | 4.1005 |
| 3.5871 | 3.5 | 6000 | 4.0692 |
| 3.559 | 3.79 | 6500 | 4.0366 |
| 3.481 | 4.08 | 7000 | 4.0358 |
| 3.3172 | 4.37 | 7500 | 4.0295 |
| 3.3056 | 4.66 | 8000 | 4.0174 |
| 3.295 | 4.95 | 8500 | 4.0045 |
| 3.1594 | 5.24 | 9000 | 4.0171 |
| 3.1303 | 5.54 | 9500 | 4.0157 |
| 3.1295 | 5.83 | 10000 | 4.0147 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
