1008model

This model is a fine-tuned version of beomi/kcbert-base on the unsmile dataset. It achieves the following results on the evaluation set:

• Loss: 0.1310
• Lrap: 0.8800

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Lrap
No log	1.0	235	0.1484	0.8606
No log	2.0	470	0.1290	0.8710
0.1741	3.0	705	0.1235	0.8805
0.1741	4.0	940	0.1284	0.8778
0.0791	5.0	1175	0.1310	0.8800

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1