---
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
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# 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