finetuned_byT5base_multi_joint

• Loss: 0.8197
• Chrf++: 63.26
• Gen Len: 98.3686

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 5e-05
• train_batch_size: 8
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 13

Training results

Framework versions

• Transformers 5.5.0
• Pytorch 2.11.0+cu130
• Datasets 4.3.0
• Tokenizers 0.22.2