dcai2023-roberta

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

• Loss: 0.7027
• Accuracy: 0.7383

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: 16
• eval_batch_size: 16
• 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
0.9281	1.0	530	0.7301	0.7136
0.6474	2.0	1060	0.7027	0.7383

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.0.post200
• Datasets 2.9.0
• Tokenizers 0.13.2