roberta-large-unlabeled-gab-semeval2023-task10-9000sample
This model is a fine-tuned version of roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0541
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: 5e-05
- train_batch_size: 16
- 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 |
|---|---|---|---|
| 2.515 | 1.0 | 563 | 2.3288 |
| 2.2807 | 2.0 | 1126 | 2.1769 |
| 2.0351 | 3.0 | 1689 | 2.0541 |
Framework versions
- Transformers 4.13.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.10.3