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bnc-cbt-log-rarity-mixed
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.0803
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 |
|---|---|---|---|
| 6.3678 | 0.29 | 500 | 5.3083 |
| 5.0506 | 0.58 | 1000 | 4.8988 |
| 4.727 | 0.87 | 1500 | 4.6664 |
| 4.4606 | 1.16 | 2000 | 4.5274 |
| 4.3096 | 1.45 | 2500 | 4.4089 |
| 4.213 | 1.75 | 3000 | 4.3013 |
| 4.0894 | 2.04 | 3500 | 4.2301 |
| 3.9068 | 2.33 | 4000 | 4.1861 |
| 3.8675 | 2.62 | 4500 | 4.1276 |
| 3.8433 | 2.91 | 5000 | 4.0819 |
| 3.6581 | 3.2 | 5500 | 4.0743 |
| 3.5934 | 3.49 | 6000 | 4.0511 |
| 3.5814 | 3.78 | 6500 | 4.0203 |
| 3.4978 | 4.07 | 7000 | 4.0150 |
| 3.326 | 4.36 | 7500 | 4.0140 |
| 3.3207 | 4.65 | 8000 | 4.0007 |
| 3.308 | 4.94 | 8500 | 3.9894 |
| 3.1751 | 5.24 | 9000 | 4.0029 |
| 3.144 | 5.53 | 9500 | 4.0021 |
| 3.1408 | 5.82 | 10000 | 4.0013 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
