deberta_sentt

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

• Loss: 0.5775
• Accuracy: 0.7964

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: 1.5e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8897	1.32	500	0.7263	0.7400
0.5086	2.64	1000	0.6056	0.7875
0.363	3.96	1500	0.5775	0.7964

Framework versions

• Transformers 4.30.1
• Pytorch 2.1.0a0+b5021ba
• Datasets 3.5.0
• Tokenizers 0.13.3