kc-bert_finetuned_unsmile

This model is a fine-tuned version of beomi/kcbert-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1326
• Lrap: 0.8753

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	0.1458	0.8612
No log	2.0	470	0.1280	0.8738
0.1685	3.0	705	0.1257	0.8791
0.1685	4.0	940	0.1281	0.8777
0.0774	5.0	1175	0.1326	0.8753

Framework versions

• Transformers 4.19.4
• Pytorch 1.11.0+cu113
• Datasets 1.17.0
• Tokenizers 0.12.1