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Donut_ocr_chart_10k

This model is a fine-tuned version of aravind-selvam/donut_finetuned_chart on the imagefolder dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.2031
• eval_cer: 0.8316
• eval_runtime: 222.4582
• eval_samples_per_second: 4.495
• eval_steps_per_second: 0.283
• epoch: 4.0
• step: 1257

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: 2.5e-05
• train_batch_size: 8
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3