ocr-based-receipt-to-text
This model is a fine-tuned version of sovitrath/receipt-ocr-full-ft on an unknown dataset.
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- 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
- num_epochs: 3
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
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Model tree for nifras365/ocr-based-receipt-to-text
Base model
HuggingFaceTB/SmolLM2-135M
Quantized
HuggingFaceTB/SmolLM2-135M-Instruct
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HuggingFaceTB/SmolVLM-256M-Instruct
Finetuned
sovitrath/receipt-ocr-full-ft