finance_news_classifier-KR_v7

This model is a fine-tuned version of Hyeonseo/ko-finance_news_classifier on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2265
• Accuracy: 0.9701

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	243	0.1994	0.9608
No log	2.0	486	0.1584	0.9660
0.1793	3.0	729	0.2011	0.9557
0.1793	4.0	972	0.2214	0.9629
0.085	5.0	1215	0.2885	0.9526
0.085	6.0	1458	0.2288	0.9660
0.0365	7.0	1701	0.2512	0.9619
0.0365	8.0	1944	0.2201	0.9670
0.0178	9.0	2187	0.2621	0.9598
0.0178	10.0	2430	0.2265	0.9701

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3