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donut-base-sroie – AI Model by olesya2096 | AlphaNeural AI
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donut-base-sroie
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transformers
safetensors
vision-encoder-decoder
image-to-text
generated_from_trainer
Akajackson/donut_rus
finetune
endpoints_compatible
us
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donut-base-sroie
This model is a fine-tuned version of
Akajackson/donut_rus
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2106
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: 32
eval_batch_size: 32
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
3.3783
1.0
85
0.6386
0.5799
2.0
170
0.3075
0.2669
3.0
255
0.2106
Framework versions
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
