Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
donut-base-finetuned-vertex-data – AI Model by rikeshVertex | AlphaNeural AI
You can deploy this model and start earning money today!
rikeshVertex
/
donut-base-finetuned-vertex-data
like
0
transformers
tensorboard
safetensors
vision-encoder-decoder
generated_from_trainer
naver-clova-ix/donut-base
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
donut-base-finetuned-vertex-data
This model is a fine-tuned version of
naver-clova-ix/donut-base
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.57.1
Pytorch 2.9.0+cu128
Datasets 4.3.0
Tokenizers 0.22.1
