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aochildes-guten-fixed-rarity
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.1303
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 |
|---|---|---|---|
| 6.3594 | 0.29 | 500 | 5.3491 |
| 5.0415 | 0.59 | 1000 | 4.9298 |
| 4.7231 | 0.88 | 1500 | 4.6896 |
| 4.4609 | 1.17 | 2000 | 4.5593 |
| 4.3125 | 1.47 | 2500 | 4.4429 |
| 4.2249 | 1.76 | 3000 | 4.3379 |
| 4.0892 | 2.05 | 3500 | 4.2753 |
| 3.9164 | 2.35 | 4000 | 4.2223 |
| 3.8843 | 2.64 | 4500 | 4.1690 |
| 3.8515 | 2.93 | 5000 | 4.1211 |
| 3.6513 | 3.23 | 5500 | 4.1170 |
| 3.6085 | 3.52 | 6000 | 4.0902 |
| 3.588 | 3.81 | 6500 | 4.0580 |
| 3.4821 | 4.11 | 7000 | 4.0584 |
| 3.335 | 4.4 | 7500 | 4.0540 |
| 3.3292 | 4.69 | 8000 | 4.0420 |
| 3.3232 | 4.99 | 8500 | 4.0278 |
| 3.1602 | 5.28 | 9000 | 4.0429 |
| 3.1574 | 5.58 | 9500 | 4.0414 |
| 3.1476 | 5.87 | 10000 | 4.0417 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
