gpt-neo-125m
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 6.601 | 1.0 | 2334 | 6.5258 |
| 6.1501 | 2.0 | 4668 | 6.2197 |
| 5.8583 | 3.0 | 7002 | 6.0518 |
| 5.6773 | 4.0 | 9336 | 5.9740 |
| 5.4815 | 5.0 | 11670 | 5.9462 |
| 5.3119 | 6.0 | 14004 | 5.9641 |
| 5.1448 | 7.0 | 16338 | 6.0186 |
| 4.9907 | 8.0 | 18672 | 6.0945 |
| 4.8493 | 9.0 | 21006 | 6.1747 |
| 4.7461 | 10.0 | 23340 | 6.2299 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
