---
library_name: transformers
license: apache-2.0
base_model: lightonai/LightOnOCR-1B-1025
tags:
- generated_from_trainer
model-index:
- name: lightonocr-books-test
  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-books-test

This model is a fine-tuned version of [lightonai/LightOnOCR-1B-1025](https://huggingface.co/lightonai/LightOnOCR-1B-1025) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1956

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.4379        | 0.1238 | 50   | 0.2103          |
| 0.4013        | 0.2475 | 100  | 0.2058          |
| 0.3717        | 0.3713 | 150  | 0.1978          |
| 0.4181        | 0.4950 | 200  | 0.2009          |
| 0.4247        | 0.6188 | 250  | 0.2007          |
| 0.3612        | 0.7426 | 300  | 0.1963          |
| 0.3554        | 0.8663 | 350  | 0.1971          |
| 0.3778        | 0.9901 | 400  | 0.1956          |


### Framework versions

- Transformers 5.0.0.dev0
- Pytorch 2.9.0+cu128
- Datasets 4.4.0
- Tokenizers 0.22.1