hana-32-0.00002

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: 1.1180
• Accuracy: 0.7223
• F1: 0.7194

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
0.4751	1.0	2194	0.8939	0.7266	0.7148
0.3463	2.0	4388	0.9639	0.7254	0.7218
0.2182	3.0	6582	1.1180	0.7223	0.7194

Framework versions

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