---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: windowz_test-020525
  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. -->

# windowz_test-020525

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Model Preparation Time: 0.0011
- Accuracy: 0.9920
- F1: 0.9921
- Iou: 0.9850
- Contour Dice: 0.9925
- Loss: 0.0221

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step   | Model Preparation Time |        | Dice   | Validation Loss |
|:-------------:|:-----:|:------:|:----------------------:|:------:|:------:|:---------------:|
| 0.4601        | 5.0   | 25630  | 0.0011                 | 0.9713 | 0.9889 | 0.0642          |
| 0.4405        | 10.0  | 51260  | 0.0011                 | 0.9760 | 0.9904 | 0.0372          |
| 0.3981        | 15.0  | 76890  | 0.0011                 | 0.9793 | 0.9932 | 0.0316          |
| 0.361         | 20.0  | 102520 | 0.0011                 | 0.9830 | 0.9925 | 0.0340          |
| 0.3978        | 25.0  | 128150 | 0.0011                 | 0.9814 | 0.9903 | 0.0309          |
| 0.4293        | 30.0  | 153780 | 0.0011                 | 0.9835 | 0.9923 | 0.0259          |
| 0.3522        | 35.0  | 179410 | 0.0011                 | 0.9855 | 0.9927 | 0.0269          |
| 0.3718        | 40.0  | 205040 | 0.0011                 | 0.9842 | 0.9931 | 0.0265          |
| 0.37          | 45.0  | 230670 | 0.0011                 | 0.9851 | 0.9931 | 0.0242          |
| 0.3866        | 50.0  | 256300 | 0.0011                 | 0.984  | 0.9920 | 0.0255          |
| 0.3416        | 55.0  | 281930 | 0.0011                 | 0.9848 | 0.9930 | 0.0249          |
| 0.3461        | 60.0  | 307560 | 0.0011                 | 0.9850 | 0.9925 | 0.0221          |
| 0.3509        | 65.0  | 333190 | 0.0011                 | 0.9842 | 0.9919 | 0.0240          |
| 0.3616        | 70.0  | 358820 | 0.0011                 | 0.9847 | 0.9931 | 0.0226          |
| 0.3406        | 75.0  | 384450 | 0.0011                 | 0.9840 | 0.9926 | 0.0237          |


### Framework versions

- Transformers 4.45.0
- Pytorch 2.5.1+cu124
- Datasets 2.21.0
- Tokenizers 0.20.3