deberta_sent4455

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

• Loss: 0.7228
• Accuracy: 0.7370

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: 32
• eval_batch_size: 16
• 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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8395	2.63	500	0.7228	0.7370

Framework versions

• Transformers 4.12.5
• Pytorch 1.10.1+cu102
• Datasets 2.14.6
• Tokenizers 0.10.3