transformers
This model was trained from scratch on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.0959
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: 0.0002
- train_batch_size: 48
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 90
- training_steps: 906
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1489 | 0.6094 | 181 | 0.1426 |
| 0.1299 | 1.2189 | 362 | 0.1197 |
| 0.1036 | 1.8283 | 543 | 0.1043 |
| 0.0999 | 2.4377 | 724 | 0.0975 |
| 0.0868 | 3.0471 | 905 | 0.0959 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.0.1+cu118
- Datasets 2.16.0
- Tokenizers 0.19.1
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