This model is a fine-tuned version of anuashok/ocr-captcha-v3 on the dathuynh1108/captcha-to-text dataset. It achieves the following results on the evaluation set:

Loss: 0.1145
Cer: 0.0056

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.0563	1.0	2532	0.0877	0.0074
0.0144	2.0	5064	0.1097	0.008
0.0175	3.0	7596	0.1212	0.0068
0.0210	4.0	10128	0.1025	0.0071
0.0007	5.0	12660	0.1109	0.0068
0.0003	6.0	15192	0.1112	0.0057
0.0023	7.0	17724	0.1164	0.0060
0.0001	8.0	20256	0.1117	0.0056
0.0000	9.0	22788	0.1153	0.0054
0.0000	10.0	25320	0.1145	0.0056

Framework versions

Transformers 5.8.0
Pytorch 2.11.0+cu130
Datasets 4.8.5
Tokenizers 0.22.2

dathuynh1108/ocr-captcha-v3-finetuned

ocr-captcha-v3-finetuned

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

dathuynh1108/
ocr-captcha-v3-finetuned