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cbt-rarity-all-p8k-new-loop-3-pad
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.1042
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 |
|---|---|---|---|
| 6.3469 | 0.29 | 500 | 5.3373 |
| 5.029 | 0.58 | 1000 | 4.9289 |
| 4.7059 | 0.88 | 1500 | 4.6866 |
| 4.4372 | 1.17 | 2000 | 4.5461 |
| 4.2929 | 1.46 | 2500 | 4.4260 |
| 4.1895 | 1.75 | 3000 | 4.3236 |
| 4.0734 | 2.04 | 3500 | 4.2498 |
| 3.8875 | 2.33 | 4000 | 4.2078 |
| 3.8636 | 2.63 | 4500 | 4.1542 |
| 3.8222 | 2.92 | 5000 | 4.1036 |
| 3.6304 | 3.21 | 5500 | 4.0973 |
| 3.5761 | 3.5 | 6000 | 4.0652 |
| 3.5653 | 3.79 | 6500 | 4.0343 |
| 3.4819 | 4.08 | 7000 | 4.0336 |
| 3.3085 | 4.38 | 7500 | 4.0316 |
| 3.312 | 4.67 | 8000 | 4.0165 |
| 3.2965 | 4.96 | 8500 | 4.0034 |
| 3.1533 | 5.25 | 9000 | 4.0168 |
| 3.1291 | 5.54 | 9500 | 4.0155 |
| 3.1303 | 5.83 | 10000 | 4.0141 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
