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LightOnOCR-2-ft-iam – AI Model by th3hsnrsl | AlphaNeural AI

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th3hsnrsl/
LightOnOCR-2-ft-iam

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image-text-to-text

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lightonai/LightOnOCR-2-1B-base

endpoints_compatible

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LightOnOCR-2-ft-iam

This model is a fine-tuned version of lightonai/LightOnOCR-2-1B-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: 6e-05
train_batch_size: 4
eval_batch_size: 6
seed: 42
gradient_accumulation_steps: 4
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
lr_scheduler_warmup_steps: 10
num_epochs: 1

Training results

Framework versions

Transformers 5.0.0
Pytorch 2.11.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2