yomilimi/Gyeongsang_encoder

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Gyeongsang_encoder

This model is a fine-tuned version of gogamza/kobart-base-v2 on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0062
• —Bleu: 91.4436
• —Gen Len: 13.3478

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
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.42.0.dev0
• —Pytorch 2.2.1+cu121
• —Datasets 2.19.2
• —Tokenizers 0.19.1