hana-128-0.00002

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

• Loss: 1.5766
• Accuracy: 0.7121
• F1: 0.7111

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: 128
• eval_batch_size: 128
• 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	F1
0.1482	1.0	549	1.3928	0.7138	0.7099
0.1106	2.0	1098	1.4663	0.7110	0.7103
0.0746	3.0	1647	1.5766	0.7121	0.7111

Framework versions

• Transformers 4.41.0
• Pytorch 2.2.2
• Datasets 2.19.1
• Tokenizers 0.19.1