TrOCR_0216_All_data – AI Model by yoon1000 | AlphaNeural AI

You can deploy this model and start earning money today!

yoon1000/
TrOCR_0216_All_data

like

0

vision-encoder-decoder

generated_from_trainer

microsoft/trocr-base-stage1

endpoints_compatible

Views

No views yet

TrOCR_0216_All_data

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

Loss: 1.4491
Cer: 0.3676

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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.8013	0.05	500	0.8621	0.1267
1.0882	0.09	1000	0.8068	0.1353
0.5746	0.14	1500	0.7315	0.0899
0.5403	0.18	2000	0.7111	0.2276
1.2505	0.23	2500	0.6538	0.1042
0.7987	0.27	3000	0.6687	0.1228
0.3878	0.32	3500	0.6745	0.0879
0.4788	0.36	4000	0.7084	0.0781
0.449	0.41	4500	1.4491	0.3676

Framework versions

Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.13.0
Tokenizers 0.15.0