transformers tf segformer generated_from_keras_callback base_model:nvidia/mit-b0 license:other endpoints_compatible region:us
---
license: other
base_model: nvidia/mit-b0
tags:
- generated_from_keras_callback
model-index:
- name: greathero/mit-b0-finetuned-contrails-morethanx33newercontrailsdataset
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# greathero/mit-b0-finetuned-contrails-morethanx33newercontrailsdataset

This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1577
- Validation Loss: 0.1651
- Validation Mean Iou: 0.2490
- Validation Mean Accuracy: 0.25
- Validation Overall Accuracy: 0.9958
- Validation Accuracy Unlabeled: 0.0
- Validation Accuracy Notlabeled: 1.0
- Validation Accuracy Otherclass: 0.0
- Validation Accuracy Contrail: 0.0
- Validation Iou Unlabeled: 0.0
- Validation Iou Notlabeled: 0.9958
- Validation Iou Otherclass: 0.0
- Validation Iou Contrail: 0.0
- Epoch: 3

## 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:
- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 6e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Validation Mean Iou | Validation Mean Accuracy | Validation Overall Accuracy | Validation Accuracy Unlabeled | Validation Accuracy Notlabeled | Validation Accuracy Otherclass | Validation Accuracy Contrail | Validation Iou Unlabeled | Validation Iou Notlabeled | Validation Iou Otherclass | Validation Iou Contrail | Epoch |
|:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:-----------------------------:|:------------------------------:|:------------------------------:|:----------------------------:|:------------------------:|:-------------------------:|:-------------------------:|:-----------------------:|:-----:|
| 1.4224     | 1.3413          | 0.0440              | 0.2777                   | 0.1745                      | 0.0                           | 0.1713                         | 0.0                            | 0.9395                       | 0.0                      | 0.1713                    | 0.0                       | 0.0047                  | 0     |
| 0.5445     | 0.5276          | 0.2436              | 0.2466                   | 0.9726                      | 0.0                           | 0.9766                         | 0.0                            | 0.0097                       | 0.0                      | 0.9726                    | 0.0                       | 0.0016                  | 1     |
| 0.2702     | 0.2208          | 0.2489              | 0.2516                   | 0.9896                      | 0.0                           | 0.9936                         | 0.0                            | 0.0126                       | 0.0                      | 0.9896                    | 0.0                       | 0.0060                  | 2     |
| 0.1577     | 0.1651          | 0.2490              | 0.25                     | 0.9958                      | 0.0                           | 1.0                            | 0.0                            | 0.0                          | 0.0                      | 0.9958                    | 0.0                       | 0.0                     | 3     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.15.0
- Tokenizers 0.15.0
