finetuned_byT5base_jje_translit

• Loss: 0.8717
• Chrf++: 14.9459
• Gen Len: 236.3223

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 5e-05
• train_batch_size: 4
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 100

Training results

Framework versions

• Transformers 5.12.1
• Pytorch 2.6.0+cu124
• Datasets 5.0.0
• Tokenizers 0.22.2