multiplechoice_robertabase01

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: 0.0236
• Accuracy: 0.9966

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
0.0815	1.0	1989	0.0579	0.9887
0.0259	2.0	3978	0.0394	0.9921
0.0001	3.0	5967	0.0236	0.9966

Framework versions

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