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bnc-rarity-guten-rarity-all-shuffled
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.3339
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 |
|---|---|---|---|
| 6.7139 | 0.29 | 500 | 5.6422 |
| 5.3578 | 0.59 | 1000 | 5.2231 |
| 5.0089 | 0.88 | 1500 | 4.9567 |
| 4.734 | 1.17 | 2000 | 4.8207 |
| 4.5784 | 1.46 | 2500 | 4.6900 |
| 4.4685 | 1.76 | 3000 | 4.5924 |
| 4.344 | 2.05 | 3500 | 4.5070 |
| 4.1509 | 2.34 | 4000 | 4.4584 |
| 4.1171 | 2.63 | 4500 | 4.3995 |
| 4.0807 | 2.93 | 5000 | 4.3476 |
| 3.8719 | 3.22 | 5500 | 4.3435 |
| 3.8224 | 3.51 | 6000 | 4.3126 |
| 3.8074 | 3.8 | 6500 | 4.2818 |
| 3.6977 | 4.1 | 7000 | 4.2817 |
| 3.5355 | 4.39 | 7500 | 4.2763 |
| 3.5304 | 4.68 | 8000 | 4.2618 |
| 3.5163 | 4.97 | 8500 | 4.2503 |
| 3.3531 | 5.27 | 9000 | 4.2646 |
| 3.341 | 5.56 | 9500 | 4.2625 |
| 3.3401 | 5.85 | 10000 | 4.2622 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
