trocr-finetuned

This model is a fine-tuned version of microsoft/trocr-small-stage1 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 9.2627
• Cer: 0.5872
• Wer: 1.0264

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: 4e-07
• train_batch_size: 6
• eval_batch_size: 6
• seed: 42
• optimizer: Use 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: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer	Wer
13.1378	1.0	50	9.7690	0.6655	1.2093
12.3944	2.0	100	9.4940	0.6319	1.1423
12.4749	3.0	150	9.3537	0.5940	1.0691
10.9977	4.0	200	9.2874	0.5884	1.0427
10.8077	5.0	250	9.2627	0.5872	1.0264

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3