mit-b0-finetuned-contrails-morethanx33newercontrailsdataset – AI Model by greathero | AlphaNeural AI

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mit-b0-finetuned-contrails-morethanx33newercontrailsdataset

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greathero/mit-b0-finetuned-contrails-morethanx33newercontrailsdataset

This model is a fine-tuned version of 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