ES_roberta_30_korquad_only

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

• Exact Match: 88.1711
• F1: 92.6666
• Loss: 0.4495

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: 3e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 4.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Exact Match	F1	Validation Loss
0.7645	1.88	500	88.3097	92.8965	0.3851
0.1278	3.76	1000	88.1711	92.6666	0.4495

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu117
• Datasets 2.7.1
• Tokenizers 0.13.2