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bnc_spoken-aochildes-not-mixed-log-rarity-seed
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.1665
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 |
|---|---|---|---|
| 6.3649 | 0.29 | 500 | 5.3367 |
| 5.0574 | 0.59 | 1000 | 4.9327 |
| 4.7279 | 0.88 | 1500 | 4.6966 |
| 4.4622 | 1.18 | 2000 | 4.5641 |
| 4.3207 | 1.47 | 2500 | 4.4601 |
| 4.2196 | 1.77 | 3000 | 4.3567 |
| 4.0869 | 2.06 | 3500 | 4.2934 |
| 3.9161 | 2.36 | 4000 | 4.2377 |
| 3.8942 | 2.65 | 4500 | 4.1957 |
| 3.8434 | 2.95 | 5000 | 4.1497 |
| 3.6511 | 3.24 | 5500 | 4.1408 |
| 3.6123 | 3.54 | 6000 | 4.1124 |
| 3.5839 | 3.83 | 6500 | 4.0817 |
| 3.4688 | 4.12 | 7000 | 4.0870 |
| 3.3406 | 4.42 | 7500 | 4.0879 |
| 3.3296 | 4.71 | 8000 | 4.0751 |
| 3.3179 | 5.01 | 8500 | 4.0722 |
| 3.1563 | 5.3 | 9000 | 4.0843 |
| 3.1554 | 5.6 | 9500 | 4.0835 |
| 3.1492 | 5.89 | 10000 | 4.0828 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
