| --- |
| base_model: mividia/mit-b2 |
| tags: |
| - retouch |
| - image-segmentation |
| - generated_from_trainer |
| model-index: |
| - name: testing_303 |
| 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. --> |
|
|
| # testing_303 |
| |
| This model is a fine-tuned version of [mividia/mit-b2](https://huggingface.co/mividia/mit-b2) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0 |
| - Mean Iou: nan |
| - Mean Accuracy: nan |
| - Overall Accuracy: nan |
| - Accuracy Wht: nan |
| - Iou Wht: nan |
| |
| ## 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: 2 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 1 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Wht | Iou Wht | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------:|:-------:| |
| | 0.0 | 1.0 | 270 | 0.0 | nan | nan | nan | nan | nan | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.33.3 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.5 |
| - Tokenizers 0.13.3 |
| |
