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LightOnOCR-2-ft-iam – AI Model by amini-ai | AlphaNeural AI
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LightOnOCR-2-ft-iam
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transformers
safetensors
lighton_ocr
image-text-to-text
generated_from_trainer
conversational
lightonai/LightOnOCR-2-1B-base
finetune
apache-2.0
endpoints_compatible
us
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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 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2
