End of training
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README.md
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This model is a fine-tuned version of [Ransaka/sinhala-ocr-model](https://huggingface.co/Ransaka/sinhala-ocr-model) on an unknown dataset.
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It achieves the following results on the evaluation set:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps:
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- total_train_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- training_steps: 6000
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Cer |
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| 4.543 | 3.27 | 500 | 6.2682 | 0.7086 |
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| 2.6146 | 6.54 | 1000 | 5.8348 | 0.6390 |
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| 1.8448 | 9.8 | 1500 | 5.8076 | 0.6166 |
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| 1.3887 | 13.07 | 2000 | 6.0250 | 0.6072 |
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| 1.0271 | 16.34 | 2500 | 5.9971 | 0.5707 |
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| 0.8891 | 19.61 | 3000 | 5.9803 | 0.5630 |
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| 0.6548 | 22.88 | 3500 | 6.0045 | 0.5542 |
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| 0.4939 | 26.14 | 4000 | 6.0223 | 0.5354 |
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| 0.322 | 29.41 | 4500 | 6.1360 | 0.5233 |
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| 0.2459 | 32.68 | 5000 | 6.1166 | 0.5220 |
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| 0.123 | 35.95 | 5500 | 6.1740 | 0.5162 |
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| 0.1575 | 39.22 | 6000 | 6.2306 | 0.5161 |
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### Framework versions
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- Transformers 4.35.2
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This model is a fine-tuned version of [Ransaka/sinhala-ocr-model](https://huggingface.co/Ransaka/sinhala-ocr-model) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 4.8494
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- eval_cer: 0.4227
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- eval_runtime: 229.7041
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- eval_samples_per_second: 1.776
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- eval_steps_per_second: 0.444
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- epoch: 5.23
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- step: 400
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- training_steps: 6000
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.35.2
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model.safetensors
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