metadata
base_model: mividia/mit-b2
tags:
- retouch
- image-segmentation
- generated_from_trainer
model-index:
- name: testing_303
results: []
testing_303
This model is a fine-tuned version of mividia/mit-b2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0228
- Mean Iou: 1.0
- Mean Accuracy: 1.0
- Overall Accuracy: 1.0
- Accuracy Wht: 1.0
- Iou Wht: 1.0
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 |
|---|---|---|---|---|---|---|---|---|
| 0.1064 | 1.0 | 270 | 0.0228 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3