| | --- |
| | 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 |
