metadata
library_name: transformers
license: apache-2.0
base_model:
- lightonai/LightOnOCR-1B-1025
tags:
- generated_from_trainer
model-index:
- name: lightonocr-books-test
results: []
lightonocr-books-test
This model is a fine-tuned version of 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