sample_hf_trainer

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

• Loss: 0.6802
• Accuracy: 0.5938

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: 224
• 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	Accuracy
0.7328	1.0	8	0.6784	0.5938
0.6823	2.0	16	0.6814	0.5938
0.6617	3.0	24	0.6802	0.5938

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1