---
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: 0.001
- Accuracy: 0.9678
- F1: 0.9630
- Iou: 0.9377
- Loss: 0.1675

## 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: 1

### Training results

| Training Loss | Epoch  | Step | Model Preparation Time |        | Validation Loss |
|:-------------:|:------:|:----:|:----------------------:|:------:|:---------------:|
| 1.0939        | 0.0501 | 257  | 0.001                  | 0.5935 | 1.0369          |
| 1.0201        | 0.1003 | 514  | 0.001                  | 0.6796 | 0.9606          |
| 0.9555        | 0.1504 | 771  | 0.001                  | 0.7692 | 0.8134          |
| 0.8988        | 0.2005 | 1028 | 0.001                  | 0.8883 | 0.4634          |
| 0.8663        | 0.2507 | 1285 | 0.001                  | 0.9029 | 0.3463          |
| 0.8516        | 0.3008 | 1542 | 0.001                  | 0.8728 | 0.3075          |
| 0.7798        | 0.3510 | 1799 | 0.001                  | 0.9528 | 0.7747          |
| 0.7601        | 0.4011 | 2056 | 0.001                  | 0.8082 | 0.5655          |
| 0.7723        | 0.4512 | 2313 | 0.001                  | 0.9550 | 0.3013          |
| 0.7258        | 0.5014 | 2570 | 0.001                  | 0.9673 | 0.1914          |
| 0.7085        | 0.5515 | 2827 | 0.001                  | 0.9377 | 0.1675          |
| 0.7058        | 0.6016 | 3084 | 0.001                  | 0.9406 | 0.2294          |
| 0.7008        | 0.6518 | 3341 | 0.001                  | 0.9189 | 0.2342          |
| 0.6691        | 0.7019 | 3598 | 0.001                  | 0.9404 | 0.2161          |


### Framework versions

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