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--- |
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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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- name: line_detector_math |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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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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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 6e-05 |
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- train_batch_size: 6 |
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- eval_batch_size: 6 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 48 |
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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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- Transformers 4.36.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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