ShuyiGuo
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IS557_TrOCR_dutch

vision-encoder-decoder

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IS557_TrOCR_dutch

This model is a fine-tuned version of ShuyiGuo/IS557_TrOCR_AllData on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0843
Cer: 0.1661

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: 3.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
2.5052	0.3436	200	2.4755	0.4603
2.229	0.6873	400	2.0362	0.3556
1.4698	1.0309	600	1.6708	0.2893
1.1727	1.3746	800	1.4876	0.2616
1.3044	1.7182	1000	1.3246	0.2158
0.7114	2.0619	1200	1.1953	0.1867
0.6231	2.4055	1400	1.1291	0.1781
0.5886	2.7491	1600	1.0843	0.1661

Framework versions

Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

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Safetensors

Model size

385M params

Tensor type

F32

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Inference API

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Model tree for ShuyiGuo/IS557_TrOCR_dutch

Base model

microsoft/trocr-base-stage1

Finetuned

ShuyiGuo/IS557_TrOCR_AllData

Finetuned

this model

Evaluation results

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