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florence_ft – AI Model by jena-shreyas | AlphaNeural AI

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jena-shreyas/
florence_ft

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image-text-to-text

generated_from_trainer

HuggingFaceM4/Florence-2-DocVQA

endpoints_compatible

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florence_ft

This model is a fine-tuned version of HuggingFaceM4/Florence-2-DocVQA 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: 5e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1

Training results

Framework versions

Transformers 4.44.2
Pytorch 2.0.1+cu117
Tokenizers 0.19.1