chkpt

This model is a fine-tuned version of monologg/koelectra-small-v3-discriminator on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 1.2815
• Accuracy: 0.8826
• F1: 0.8276
• Precision: 0.7790
• Recall: 0.8826

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 128
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	29	1.2815	0.8826	0.8276	0.7790	0.8826

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.1
• Datasets 2.15.0
• Tokenizers 0.15.0