TrOCR_0208-2 – AI Model by yoon1000 | AlphaNeural AI

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yoon1000/
TrOCR_0208-2

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vision-encoder-decoder

generated_from_trainer

microsoft/trocr-base-stage1

endpoints_compatible

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TrOCR_0208-2

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: 1.2584
Cer: 0.1211

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: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
1.3873	1.71	500	1.6813	0.2361
0.8298	3.42	1000	1.7390	0.2441
0.5587	5.14	1500	1.5896	0.2090
0.376	6.85	2000	1.4717	0.1775
0.2847	8.56	2500	1.5528	0.1928
0.2376	10.27	3000	1.4412	0.1727
0.2101	11.99	3500	1.3770	0.1592
0.2551	13.7	4000	1.4311	0.1564
0.226	15.41	4500	1.2536	0.1337
0.1365	17.12	5000	1.2753	0.1272
0.14	18.84	5500	1.2584	0.1211

Framework versions

Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.13.0
Tokenizers 0.15.0