distil-multilingual-cased-fire-classification-silvanus
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on the Twitter (X) dataset. It achieves the following results on the evaluation set:
- Loss: 0.4181
- Accuracy: 0.8798
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 233 | 0.3467 | 0.8755 |
| No log | 2.0 | 466 | 0.4038 | 0.8755 |
| 0.3216 | 3.0 | 699 | 0.4181 | 0.8798 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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