aipib/LightOnOCR-1B-1025-ft-iam-full

This model is a fine-tuned version of lightonai/LightOnOCR-1B-1025 on HuggingFaceM4/FineVision dataset.

It achieves the following results on the evaluation set:

-Loss: 0.4395

Intended uses & limitations

Please refer the original information

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 6e-05
• train_batch_size: 4
• eval_batch_size: 6
• 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
• training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
3.1522	0.1661	50	0.4954
1.6662	0.3322	100	0.4395

Framework versions

• PEFT 0.18.0
• Transformers 5.0.0.dev0
• Pytorch 2.9.1
• Datasets 4.4.1
• Tokenizers 0.22.1