ArOCR – AI Model by gagan3012 | AlphaNeural AI

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gagan3012/
ArOCR

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ArOCR

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

Loss: 0.0407
Cer: 0.0200

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

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
1.6164	0.59	1000	1.4109	0.5793
0.3434	1.18	2000	0.3876	0.2176
0.1679	1.77	3000	0.2262	0.1186
0.0816	2.37	4000	0.1274	0.0634
0.0421	2.96	5000	0.0817	0.0381
0.0067	3.55	6000	0.0520	0.0265
0.0044	4.14	7000	0.0469	0.0215
0.0027	4.73	8000	0.0407	0.0200

Framework versions

Transformers 4.18.0
Pytorch 1.9.1
Datasets 2.1.0
Tokenizers 0.11.6