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bnc_spoken_gutenberg_fixed_log_rarity-mixed-seed
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.1533
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 |
|---|---|---|---|
| 6.3573 | 0.29 | 500 | 5.3408 |
| 5.0516 | 0.59 | 1000 | 4.9319 |
| 4.7229 | 0.88 | 1500 | 4.7012 |
| 4.4572 | 1.17 | 2000 | 4.5696 |
| 4.3138 | 1.46 | 2500 | 4.4428 |
| 4.2149 | 1.76 | 3000 | 4.3505 |
| 4.0893 | 2.05 | 3500 | 4.2888 |
| 3.8993 | 2.34 | 4000 | 4.2377 |
| 3.8964 | 2.63 | 4500 | 4.1837 |
| 3.8463 | 2.93 | 5000 | 4.1298 |
| 3.6523 | 3.22 | 5500 | 4.1291 |
| 3.6059 | 3.51 | 6000 | 4.1041 |
| 3.584 | 3.8 | 6500 | 4.0725 |
| 3.4873 | 4.1 | 7000 | 4.0728 |
| 3.334 | 4.39 | 7500 | 4.0694 |
| 3.3297 | 4.68 | 8000 | 4.0589 |
| 3.3185 | 4.97 | 8500 | 4.0454 |
| 3.1661 | 5.27 | 9000 | 4.0614 |
| 3.1518 | 5.56 | 9500 | 4.0607 |
| 3.1478 | 5.85 | 10000 | 4.0586 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
