<!-- 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. -->
children-rarity-all-guten-log-rarity-all
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.3116
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 |
|---|---|---|---|
| 6.7036 | 0.29 | 500 | 5.6365 |
| 5.348 | 0.58 | 1000 | 5.2064 |
| 4.99 | 0.87 | 1500 | 4.9589 |
| 4.7208 | 1.16 | 2000 | 4.8071 |
| 4.5602 | 1.46 | 2500 | 4.6761 |
| 4.4513 | 1.75 | 3000 | 4.5690 |
| 4.3332 | 2.04 | 3500 | 4.4907 |
| 4.1308 | 2.33 | 4000 | 4.4479 |
| 4.1002 | 2.62 | 4500 | 4.3912 |
| 4.0711 | 2.91 | 5000 | 4.3370 |
| 3.8621 | 3.2 | 5500 | 4.3334 |
| 3.803 | 3.49 | 6000 | 4.3002 |
| 3.7865 | 3.79 | 6500 | 4.2683 |
| 3.6992 | 4.08 | 7000 | 4.2633 |
| 3.5158 | 4.37 | 7500 | 4.2591 |
| 3.5163 | 4.66 | 8000 | 4.2433 |
| 3.501 | 4.95 | 8500 | 4.2300 |
| 3.3525 | 5.24 | 9000 | 4.2437 |
| 3.3213 | 5.53 | 9500 | 4.2424 |
| 3.3235 | 5.82 | 10000 | 4.2416 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
