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PolizzeDonut-DataBilItems-3Epochs – AI Model by tedad09 | AlphaNeural AI
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tedad09
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PolizzeDonut-DataBilItems-3Epochs
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transformers
safetensors
vision-encoder-decoder
image-to-text
generated_from_trainer
imagefolder
naver-clova-ix/donut-base
finetune
mit
endpoints_compatible
us
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PolizzeDonut-DataBilItems-3Epochs
This model is a fine-tuned version of
naver-clova-ix/donut-base
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 3.2758
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: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
6.6364
1.0
45
4.3787
3.9341
2.0
90
3.4190
3.0213
3.0
135
3.2758
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
