ko_roberta_small_model

This model is a fine-tuned version of hyeonseo/ko_roberta_small_model on the klue dataset. It achieves the following results on the evaluation set:

• Loss: 0.1864
• Precision: 0.6827
• Recall: 0.7254
• F1: 0.7034
• Accuracy: 0.9404

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	Precision	Recall	F1	Accuracy
0.2341	1.0	1313	0.2069	0.6516	0.6999	0.6749	0.9336
0.16	2.0	2626	0.1864	0.6827	0.7254	0.7034	0.9404

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3