electra

This model is a fine-tuned version of kykim/electra-kor-base on the nsmc dataset. It achieves the following results on the evaluation set:

• Loss: 0.2678
• Accuracy: 0.9130

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-06
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2496	1.0	9375	0.2385	0.9072
0.2108	2.0	18750	0.2496	0.9127
0.1879	3.0	28125	0.2678	0.9130

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3