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bnc-cbt-rarity
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.1216
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 |
|---|---|---|---|
| 6.3708 | 0.29 | 500 | 5.3361 |
| 5.0503 | 0.59 | 1000 | 4.9318 |
| 4.713 | 0.88 | 1500 | 4.6937 |
| 4.4634 | 1.17 | 2000 | 4.5611 |
| 4.3089 | 1.46 | 2500 | 4.4409 |
| 4.2145 | 1.76 | 3000 | 4.3397 |
| 4.0857 | 2.05 | 3500 | 4.2672 |
| 3.9095 | 2.34 | 4000 | 4.2143 |
| 3.8772 | 2.63 | 4500 | 4.1591 |
| 3.8444 | 2.93 | 5000 | 4.1098 |
| 3.6491 | 3.22 | 5500 | 4.1097 |
| 3.5993 | 3.51 | 6000 | 4.0797 |
| 3.5848 | 3.81 | 6500 | 4.0497 |
| 3.4861 | 4.1 | 7000 | 4.0479 |
| 3.3328 | 4.39 | 7500 | 4.0443 |
| 3.3282 | 4.68 | 8000 | 4.0292 |
| 3.3151 | 4.98 | 8500 | 4.0183 |
| 3.1607 | 5.27 | 9000 | 4.0323 |
| 3.151 | 5.56 | 9500 | 4.0309 |
| 3.1458 | 5.85 | 10000 | 4.0304 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
