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gpt2-dp-cl-rarity-7-138k
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 5.0570
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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.3316 | 0.1 | 500 | 5.9359 |
| 5.037 | 0.2 | 1000 | 5.5912 |
| 4.7585 | 0.3 | 1500 | 5.3926 |
| 4.5652 | 0.4 | 2000 | 5.2696 |
| 4.4209 | 0.5 | 2500 | 5.1801 |
| 4.2959 | 0.6 | 3000 | 5.1092 |
| 4.1848 | 0.7 | 3500 | 5.0541 |
| 4.0932 | 0.8 | 4000 | 5.0062 |
| 4.0291 | 0.9 | 4500 | 4.9784 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
