dhivehi-trocr-small-v2

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0533
• Cer: 0.1894

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: 1e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• 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: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.1992	0.2350	5000	0.2111	0.1751
0.1335	0.4700	10000	0.1193	0.1761
0.1055	0.7050	15000	0.0941	0.1838
0.0928	0.9400	20000	0.0898	0.1903
0.0806	1.1750	25000	0.0911	0.1823
0.0698	1.4100	30000	0.0699	0.1954
0.0666	1.6450	35000	0.0662	0.1899
0.0619	1.8801	40000	0.0674	0.1960
0.0577	2.1151	45000	0.0584	0.1895
0.0579	2.3501	50000	0.0686	0.1932
0.0515	2.5851	55000	0.0551	0.1892
0.0528	2.8201	60000	0.0533	0.1894

Framework versions

• Transformers 5.0.0
• Pytorch 2.10.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2