ko_gyeongsang_test

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: 3.7493
• Bleu: 90.5462
• Gen Len: 20.0

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
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
3.7799	1.0	12910	3.7647	89.6987	20.0
3.7679	2.0	25820	3.7528	90.4226	20.0
3.757	3.0	38730	3.7493	90.5462	20.0

Framework versions

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