subhuatharva
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donut_base_reciptOCRfree

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vision-encoder-decoder

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donut_base_reciptOCRfree

This model is a fine-tuned version of naver-clova-ix/donut-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.9624

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: 2e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.3603	1.0	1022	1.9624

Framework versions

Transformers 4.42.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

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Safetensors

Model size

202M params

Tensor type

I64

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F32

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Inference API

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Inference API (serverless) does not yet support transformers models for this pipeline type.

Model tree for subhuatharva/donut_base_reciptOCRfree

Base model

naver-clova-ix/donut-base

Finetuned

(366)

this model

Evaluation results

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