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cbt-rarity-guten-fixed
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.0985
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 |
|---|---|---|---|
| 6.3519 | 0.29 | 500 | 5.3468 |
| 5.0333 | 0.58 | 1000 | 4.9291 |
| 4.7073 | 0.87 | 1500 | 4.6889 |
| 4.4427 | 1.17 | 2000 | 4.5469 |
| 4.2897 | 1.46 | 2500 | 4.4291 |
| 4.1828 | 1.75 | 3000 | 4.3230 |
| 4.0733 | 2.04 | 3500 | 4.2457 |
| 3.8847 | 2.33 | 4000 | 4.2009 |
| 3.8597 | 2.62 | 4500 | 4.1478 |
| 3.8231 | 2.91 | 5000 | 4.0935 |
| 3.6322 | 3.21 | 5500 | 4.0913 |
| 3.5786 | 3.5 | 6000 | 4.0641 |
| 3.5646 | 3.79 | 6500 | 4.0290 |
| 3.477 | 4.08 | 7000 | 4.0268 |
| 3.3022 | 4.37 | 7500 | 4.0259 |
| 3.3082 | 4.66 | 8000 | 4.0106 |
| 3.2938 | 4.95 | 8500 | 3.9979 |
| 3.1532 | 5.24 | 9000 | 4.0100 |
| 3.1253 | 5.54 | 9500 | 4.0096 |
| 3.122 | 5.83 | 10000 | 4.0085 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
