XLM_RoBERTa-Large-Clickbait-Detection-NEW-Data
This model is a fine-tuned version of xlm-roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3682
- Micro F1: 0.9052
- Macro F1: 0.9024
- Accuracy: 0.9052
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: 1e-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: 10
Training results
Framework versions
- Transformers 4.36.1
- Pytorch 2.1.0+cu121
- Datasets 2.13.1
- Tokenizers 0.15.0
- Downloads last month
- 240
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Model tree for christinacdl/XLM_RoBERTa-Large-Clickbait-Detection-NEW-Data
Base model
FacebookAI/xlm-roberta-large