roberta-large-unlabeled-gab-semeval2023-task10-45000sample

This model is a fine-tuned version of roberta-large on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.8859

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: 2e-05
• train_batch_size: 32
• eval_batch_size: 8
• 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
2.1552	1.0	1407	1.9502
1.9918	2.0	2814	1.8859

Framework versions

• Transformers 4.13.0
• Pytorch 1.12.1+cu113
• Datasets 2.6.1
• Tokenizers 0.10.3