segformer-b0-finetuned-segments-satellite-terrain
This model is a fine-tuned version of nvidia/mit-b0 on the ZeeeWP/terrain_map dataset. It achieves the following results on the evaluation set:
- Loss: 1.5487
- Mean Iou: 0.2261
- Mean Accuracy: 0.3435
- Overall Accuracy: 0.5155
- Accuracy Unlabeled: nan
- Accuracy Sand: 0.4844
- Accuracy Cliff: 0.7122
- Accuracy Bedrock flat: 0.6745
- Accuracy Bedrock lowhill: 0.0645
- Accuracy Bedrock highhill: 0.0
- Accuracy Gravel low hill: 0.4691
- Accuracy Gravel high hill: 0.0
- Iou Unlabeled: nan
- Iou Sand: 0.4487
- Iou Cliff: 0.4859
- Iou Bedrock flat: 0.3646
- Iou Bedrock lowhill: 0.0584
- Iou Bedrock highhill: 0.0
- Iou Gravel low hill: 0.2249
- Iou Gravel high hill: 0.0
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: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Unlabeled | Accuracy Sand | Accuracy Cliff | Accuracy Bedrock flat | Accuracy Bedrock lowhill | Accuracy Bedrock highhill | Accuracy Gravel low hill | Accuracy Gravel high hill | Iou Unlabeled | Iou Sand | Iou Cliff | Iou Bedrock flat | Iou Bedrock lowhill | Iou Bedrock highhill | Iou Gravel low hill | Iou Gravel high hill |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1.7462 | 2.5 | 20 | 1.9462 | 0.2019 | 0.3088 | 0.4750 | nan | 0.3936 | 0.6995 | 0.6335 | 0.0725 | 0.0 | 0.3624 | 0.0 | nan | 0.3812 | 0.4667 | 0.3481 | 0.0591 | 0.0 | 0.1582 | 0.0 |
1.6774 | 5.0 | 40 | 1.7093 | 0.2078 | 0.3221 | 0.4960 | nan | 0.4227 | 0.7176 | 0.7059 | 0.0361 | 0.0 | 0.3723 | 0.0 | nan | 0.4017 | 0.4888 | 0.3484 | 0.0329 | 0.0 | 0.1826 | 0.0 |
1.3793 | 7.5 | 60 | 1.5717 | 0.2235 | 0.3421 | 0.5081 | nan | 0.4908 | 0.6816 | 0.6798 | 0.0656 | 0.0 | 0.4769 | 0.0 | nan | 0.4458 | 0.4760 | 0.3635 | 0.0583 | 0.0 | 0.2210 | 0.0 |
1.7613 | 10.0 | 80 | 1.5487 | 0.2261 | 0.3435 | 0.5155 | nan | 0.4844 | 0.7122 | 0.6745 | 0.0645 | 0.0 | 0.4691 | 0.0 | nan | 0.4487 | 0.4859 | 0.3646 | 0.0584 | 0.0 | 0.2249 | 0.0 |
Framework versions
- Transformers 4.44.1
- Pytorch 2.4.1
- Datasets 2.14.6
- Tokenizers 0.19.1
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