|
--- |
|
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 |
|
|
