results

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

• Loss: 0.8965
• Accuracy: 0.842

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: 8
• 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	Accuracy
0.3948	1.0	1250	0.8819	0.815
0.3017	2.0	2500	0.8441	0.839
0.1831	3.0	3750	0.9289	0.837

Framework versions

• Transformers 4.38.2
• Pytorch 2.4.1+cu118
• Datasets 2.14.7
• Tokenizers 0.15.2