Model save
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README.md
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base_model: vikp/
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tags:
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- generated_from_trainer
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model-index:
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# line_detector_math
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This model is a fine-tuned version of [vikp/
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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base_model: vikp/line_detector_2
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tags:
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- generated_from_trainer
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model-index:
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# line_detector_math
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This model is a fine-tuned version of [vikp/line_detector_2](https://huggingface.co/vikp/line_detector_2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1602
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- Heatmap Mean Iou: 92.4902
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- Heatmap Box Count: 40.9407
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- Heatmap Correct Box Count: 41.4774
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- Affinity Mean Iou: 23.9998
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- Affinity Box Count: 218.5248
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- Affinity Correct Box Count: 121.3200
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 4
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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 | Heatmap Mean Iou | Heatmap Box Count | Heatmap Correct Box Count | Affinity Mean Iou | Affinity Box Count | Affinity Correct Box Count |
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|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-----------------:|:-------------------------:|:-----------------:|:------------------:|:--------------------------:|
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| 0.1625 | 2.72 | 1000 | 0.1602 | 92.4902 | 40.9407 | 41.4774 | 23.9998 | 218.5248 | 121.3200 |
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### Framework versions
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