kobert-emotion-classifier

This model is a fine-tuned version of monologg/kobert on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0898

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.0797	1.0	642	0.0962
0.0806	2.0	1284	0.0907
0.0806	3.0	1926	0.0898

Framework versions

• Transformers 4.41.2
• Pytorch 2.4.0
• Datasets 2.19.0
• Tokenizers 0.19.1