---
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: 0.1898

## 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: 8
- 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

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.9005        | 0.0619 | 50   | 0.2190          |
| 0.7568        | 0.1239 | 100  | 0.2133          |
| 0.7556        | 0.1858 | 150  | 0.2129          |
| 0.8055        | 0.2478 | 200  | 0.2108          |
| 0.7609        | 0.3097 | 250  | 0.2021          |
| 0.6656        | 0.3716 | 300  | 0.1993          |
| 0.7036        | 0.4336 | 350  | 0.1979          |
| 0.8552        | 0.4955 | 400  | 0.1929          |
| 0.8087        | 0.5574 | 450  | 0.1944          |
| 0.7815        | 0.6194 | 500  | 0.1913          |
| 0.6349        | 0.6813 | 550  | 0.1930          |
| 0.7542        | 0.7433 | 600  | 0.1901          |
| 0.6332        | 0.8052 | 650  | 0.1913          |
| 0.6949        | 0.8671 | 700  | 0.1904          |
| 0.7974        | 0.9291 | 750  | 0.1896          |
| 0.5963        | 0.9910 | 800  | 0.1898          |


### Framework versions

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