Jeolla_model

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: 0.0117
• Bleu: 88.9408
• Gen Len: 14.085

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
0.015	1.0	15477	0.0136	88.803	14.0811
0.0111	2.0	30954	0.0122	88.8626	14.0804
0.0094	3.0	46431	0.0117	88.9408	14.085

Framework versions

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