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khowar-ocr-v0.1
This model was trained from scratch 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 500
Training results
Framework versions
- PEFT 0.14.0
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 4.8.3
- Tokenizers 0.20.3
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Base model
deepseek-ai/DeepSeek-OCR-2