ko-finance_news_classifier

This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base-sentiment on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.4474
• Accuracy: 0.8423

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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	243	1.0782	0.8010
No log	2.0	486	1.0328	0.8381
0.0766	3.0	729	1.2348	0.8330
0.0766	4.0	972	1.3915	0.8052
0.046	5.0	1215	1.2995	0.8474
0.046	6.0	1458	1.2926	0.8361
0.0512	7.0	1701	1.2889	0.8330
0.0512	8.0	1944	1.3107	0.8392
0.0415	9.0	2187	1.4514	0.8309
0.0415	10.0	2430	1.2869	0.8381
0.0279	11.0	2673	1.2874	0.8526
0.0279	12.0	2916	1.4731	0.8423
0.0126	13.0	3159	1.3956	0.8443
0.0126	14.0	3402	1.4211	0.8454
0.0101	15.0	3645	1.3686	0.8474
0.0101	16.0	3888	1.4412	0.8423
0.0114	17.0	4131	1.4376	0.8423
0.0114	18.0	4374	1.4566	0.8423
0.0055	19.0	4617	1.4439	0.8443
0.0055	20.0	4860	1.4474	0.8423

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3