major-sea-94
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5981
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0163 | 0.76 | 10000 | 1.9201 |
| 1.8172 | 1.53 | 20000 | 1.7582 |
| 1.7234 | 2.29 | 30000 | 1.6834 |
| 1.663 | 3.05 | 40000 | 1.6338 |
| 1.6667 | 3.82 | 50000 | 1.6013 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.13.3
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