bert-base-multilingual-cased-fire-classification-silvanus
This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3171
- Accuracy: 0.9185
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 | 0.2618 | 0.9056 |
| No log | 2.0 | 466 | 0.2923 | 0.9142 |
| 0.3256 | 3.0 | 699 | 0.3171 | 0.9185 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for rollerhafeezh-amikom/bert-base-multilingual-cased-fire-classification-silvanus
Base model
google-bert/bert-base-multilingual-cased