xlm-roberta-base-fire-classification-silvanus
This model is a fine-tuned version of xlm-roberta-base on the Twitter (X) dataset based on the "forest fire" keyword. It achieves the following results on the evaluation set:
- Loss: 0.5255
- Accuracy: 0.8884
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: 3e-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 | 0.5431 | 0.8670 |
| No log | 2.0 | 466 | 0.5125 | 0.8670 |
| 0.4162 | 3.0 | 699 | 0.5255 | 0.8884 |
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 programmersilvanus/fire-xlmr
Base model
FacebookAI/xlm-roberta-base