<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
cbt-guten-log-rarity-all-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: 4.3166
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 |
|---|---|---|---|
| 6.6947 | 0.29 | 500 | 5.6397 |
| 5.3475 | 0.58 | 1000 | 5.2031 |
| 4.991 | 0.87 | 1500 | 4.9524 |
| 4.7228 | 1.17 | 2000 | 4.8034 |
| 4.563 | 1.46 | 2500 | 4.6832 |
| 4.446 | 1.75 | 3000 | 4.5709 |
| 4.3323 | 2.04 | 3500 | 4.4920 |
| 4.1314 | 2.33 | 4000 | 4.4447 |
| 4.1022 | 2.62 | 4500 | 4.3948 |
| 4.059 | 2.91 | 5000 | 4.3383 |
| 3.8712 | 3.21 | 5500 | 4.3368 |
| 3.8024 | 3.5 | 6000 | 4.3008 |
| 3.7855 | 3.79 | 6500 | 4.2702 |
| 3.6976 | 4.08 | 7000 | 4.2655 |
| 3.5207 | 4.37 | 7500 | 4.2612 |
| 3.5156 | 4.66 | 8000 | 4.2501 |
| 3.5001 | 4.95 | 8500 | 4.2351 |
| 3.357 | 5.24 | 9000 | 4.2478 |
| 3.3255 | 5.54 | 9500 | 4.2467 |
| 3.3217 | 5.83 | 10000 | 4.2455 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
