| --- |
| base_model: vikp/line_detector_2 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: line_detector_math |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # line_detector_math |
|
|
| This model is a fine-tuned version of [vikp/line_detector_2](https://huggingface.co/vikp/line_detector_2) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1602 |
| - Heatmap Mean Iou: 92.4902 |
| - Heatmap Box Count: 40.9407 |
| - Heatmap Correct Box Count: 41.4774 |
| - Affinity Mean Iou: 23.9998 |
| - Affinity Box Count: 218.5248 |
| - Affinity Correct Box Count: 121.3200 |
|
|
| ## 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: 6e-05 |
| - train_batch_size: 6 |
| - eval_batch_size: 6 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 48 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 4 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-----------------:|:-------------------------:|:-----------------:|:------------------:|:--------------------------:| |
| | 0.1625 | 2.72 | 1000 | 0.1602 | 92.4902 | 40.9407 | 41.4774 | 23.9998 | 218.5248 | 121.3200 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.36.2 |
| - Pytorch 2.2.0+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
| |
