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

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: 0.0013
- Accuracy: 0.9922
- F1: 0.9924
- Iou: 0.9856
- Loss: 0.0214

## 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 |        | Validation Loss |
|:-------------:|:-----:|:------:|:----------------------:|:------:|:---------------:|
| 0.4994        | 5.0   | 25630  | 0.0013                 | 0.9812 | 0.0328          |
| 0.4423        | 10.0  | 51260  | 0.0013                 | 0.9806 | 0.0356          |
| 0.4365        | 15.0  | 76890  | 0.0013                 | 0.9836 | 0.0309          |
| 0.3913        | 20.0  | 102520 | 0.0013                 | 0.1924 | 0.9382          |
| 0.3415        | 25.0  | 128150 | 0.0013                 | 0.9851 | 0.0250          |
| 0.3952        | 30.0  | 153780 | 0.0013                 | 0.9860 | 0.0236          |
| 0.3746        | 35.0  | 179410 | 0.0013                 | 0.9818 | 0.0288          |
| 0.3569        | 40.0  | 205040 | 0.0013                 | 0.1850 | 0.8815          |
| 0.3612        | 45.0  | 230670 | 0.0013                 | 0.9856 | 0.0214          |
| 0.3501        | 50.0  | 256300 | 0.0013                 | 0.9848 | 0.0241          |
| 0.3374        | 55.0  | 281930 | 0.0013                 | 0.9847 | 0.0232          |
| 0.3742        | 60.0  | 307560 | 0.0013                 | 0.1883 | 0.9705          |


### Framework versions

- Transformers 4.45.0
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.20.3