multiplechoice_robertabase02_hallym

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

• Loss: 0.2446
• Accuracy: 0.9503

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: 4
• eval_batch_size: 4
• 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
0.5381	1.0	723	0.2212	0.9317
0.2127	2.0	1446	0.2580	0.9286
0.0329	3.0	2169	0.2446	0.9503

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3