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hand_vs_machine – AI Model by dreeven | AlphaNeural AI

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dreeven/
hand_vs_machine

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vision-encoder-decoder

generated_from_trainer

naver-clova-ix/donut-base-finetuned-rvlcdip

endpoints_compatible

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hand_vs_machine

This model is a fine-tuned version of naver-clova-ix/donut-base-finetuned-rvlcdip on an unknown dataset.

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: 10

Training results

Framework versions

Transformers 4.35.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1