hana-16-0.00002-fin

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: 1.0857
• Accuracy: 0.6901
• F1: 0.6848

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: 32
• eval_batch_size: 32
• 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
0.7346	1.0	4411	0.9178	0.6817	0.6745
0.5555	2.0	8822	0.9435	0.6899	0.6843
0.3705	3.0	13233	1.0857	0.6901	0.6848

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0a0+b5021ba
• Datasets 2.6.2
• Tokenizers 0.14.1