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---
license: other
base_model: nvidia/mit-b0
tags:
- generated_from_keras_callback
model-index:
- name: greathero/mit-b0-finetuned-contrails-morethanx35newercontrailsdataset
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-morethanx35newercontrailsdataset
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: 0.0060
- Validation Loss: 0.0056
- Validation Mean Iou: 0.5133
- Validation Mean Accuracy: 0.5326
- Validation Overall Accuracy: 0.9983
- Validation Accuracy Unlabeled: 0.4799
- Validation Accuracy Notlabeled: 1.0000
- Validation Accuracy Otherclass: 0.6283
- Validation Accuracy Contrail: 0.0221
- Validation Iou Unlabeled: 0.4722
- Validation Iou Notlabeled: 0.9983
- Validation Iou Otherclass: 0.5608
- Validation Iou Contrail: 0.0218
- Epoch: 15
## 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 |
|:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:-----------------------------:|:------------------------------:|:------------------------------:|:----------------------------:|:------------------------:|:-------------------------:|:-------------------------:|:-----------------------:|:-----:|
| 0.2395 | 0.0367 | 0.2496 | 0.25 | 0.9983 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.9983 | 0.0 | 0.0 | 0 |
| 0.0286 | 0.0204 | 0.2496 | 0.25 | 0.9983 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.9983 | 0.0 | 0.0 | 1 |
| 0.0194 | 0.0156 | 0.2496 | 0.25 | 0.9983 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.9983 | 0.0 | 0.0 | 2 |
| 0.0157 | 0.0144 | 0.2496 | 0.25 | 0.9983 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.9983 | 0.0 | 0.0 | 3 |
| 0.0141 | 0.0137 | 0.2496 | 0.25 | 0.9983 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.9983 | 0.0 | 0.0 | 4 |
| 0.0133 | 0.0132 | 0.2496 | 0.25 | 0.9983 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.9983 | 0.0 | 0.0 | 5 |
| 0.0126 | 0.0125 | 0.2496 | 0.25 | 0.9983 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.9983 | 0.0 | 0.0 | 6 |
| 0.0118 | 0.0117 | 0.2496 | 0.25 | 0.9983 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.9983 | 0.0 | 0.0 | 7 |
| 0.0112 | 0.0110 | 0.2551 | 0.2555 | 0.9983 | 0.0 | 1.0000 | 0.0222 | 0.0 | 0.0 | 0.9983 | 0.0220 | 0.0 | 8 |
| 0.0106 | 0.0103 | 0.2744 | 0.2756 | 0.9983 | 0.0180 | 1.0000 | 0.0832 | 0.0013 | 0.0179 | 0.9983 | 0.0801 | 0.0013 | 9 |
| 0.0100 | 0.0094 | 0.3172 | 0.3225 | 0.9983 | 0.0527 | 1.0000 | 0.2344 | 0.0030 | 0.0521 | 0.9983 | 0.2154 | 0.0030 | 10 |
| 0.0091 | 0.0087 | 0.3117 | 0.3138 | 0.9983 | 0.1026 | 1.0000 | 0.1470 | 0.0055 | 0.1014 | 0.9983 | 0.1415 | 0.0055 | 11 |
| 0.0083 | 0.0076 | 0.3844 | 0.3941 | 0.9983 | 0.1540 | 1.0000 | 0.4189 | 0.0037 | 0.1516 | 0.9983 | 0.3840 | 0.0037 | 12 |
| 0.0073 | 0.0070 | 0.4402 | 0.4781 | 0.9983 | 0.1997 | 0.9999 | 0.6616 | 0.0511 | 0.1978 | 0.9983 | 0.5167 | 0.0479 | 13 |
| 0.0067 | 0.0062 | 0.5049 | 0.5454 | 0.9983 | 0.4868 | 1.0000 | 0.6893 | 0.0057 | 0.4702 | 0.9983 | 0.5456 | 0.0056 | 14 |
| 0.0060 | 0.0056 | 0.5133 | 0.5326 | 0.9983 | 0.4799 | 1.0000 | 0.6283 | 0.0221 | 0.4722 | 0.9983 | 0.5608 | 0.0218 | 15 |
### Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.15.0
- Tokenizers 0.15.0
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