donut_f21_v4_ep3_edit_distance_loss_retrain

• Loss: 19.6495
• Char Accuracy: 0.1456
• Exact Match Accuracy: 0.0
• Avg Pred Length: 1.456
• Avg Label Length: 10.0
• Length Ratio: 0.1456
• Avg Edit Distance: 8.544

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 1e-06
• train_batch_size: 1
• eval_batch_size: 1
• seed: 132
• 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: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.57.6
• Pytorch 2.10.0+cu128
• Datasets 4.5.0
• Tokenizers 0.22.2