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

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: 0.1344

## 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: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- 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: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.4848        | 0.3322 | 100  | 0.2298          |
| 0.3688        | 0.6645 | 200  | 0.1673          |
| 0.3001        | 0.9967 | 300  | 0.1429          |
| 0.1099        | 1.3289 | 400  | 0.1361          |
| 0.1136        | 1.6611 | 500  | 0.1348          |
| 0.1169        | 1.9934 | 600  | 0.1344          |


### Framework versions

- Transformers 5.0.0.dev0
- Pytorch 2.9.0+cu128
- Datasets 4.3.0
- Tokenizers 0.22.1