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
- Downloads last month
- 32
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for tiansz/roberta-large-finetuned-disaster
Base model
FacebookAI/roberta-large