distilbert-base-fire-class
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4997
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: 5e-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
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4456 | 1.0 | 368 | 0.4997 |
| 0.2904 | 2.0 | 736 | 0.6664 |
| 0.2408 | 3.0 | 1104 | 0.5989 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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