---
library_name: transformers
license: apache-2.0
base_model: lightonai/LightOnOCR-2-1B-base
tags:
- generated_from_trainer
model-index:
- name: LightOnOCR-2-ft-iam
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# LightOnOCR-2-ft-iam

This model is a fine-tuned version of [lightonai/LightOnOCR-2-1B-base](https://huggingface.co/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 2.9.0+cu126
- Datasets 4.5.0
- Tokenizers 0.22.2