roberta-large-finetuned-disaster

This model is a fine-tuned version of roberta-large on the Disaster Tweets. It achieves the following results on the evaluation set:

• Loss: 0.3668
• Accuracy: 0.8399
• F1: 0.8396

Model description

The model is a fine-tuned version on the disaster dataset on Kaggle. You can enter the following statement to see if the label changes:

Forest fire near La Ronge Sask. Canada

Just happened a terrible car crash

What's up man?

Summer is lovely

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.446	1.0	226	0.3657	0.8583	0.8580
0.3295	2.0	452	0.3668	0.8399	0.8396

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.0
• Datasets 2.1.0
• Tokenizers 0.13.2