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