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segcrack9k_conglomerate_train_test
varcoder/segcrack9k_conglomerate_train_test
segcrack9k_conglomerate_train_test is a machine learning model from varcoder. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- other
- Model type
- segformer
- Access
- Public
- Created
- Jul 24, 2023
- Updated
- Jul 24, 2023
- SHA
- f1aa8055
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
segcrack9k_conglomerate_train_test
This model is a fine-tuned version of nvidia/mit-b5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0298
- Mean Iou: 0.3639
- Mean Accuracy: 0.7278
- Overall Accuracy: 0.7278
- Accuracy Background: nan
- Accuracy Crack: 0.7278
- Iou Background: 0.0
- Iou Crack: 0.7278
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Background | Accuracy Crack | Iou Background | Iou Crack |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.0374 | 0.18 | 1000 | 0.0410 | 0.2472 | 0.4944 | 0.4944 | nan | 0.4944 | 0.0 | 0.4944 |
| 0.0337 | 0.36 | 2000 | 0.0341 | 0.3749 | 0.7497 | 0.7497 | nan | 0.7497 | 0.0 | 0.7497 |
| 0.0209 | 0.55 | 3000 | 0.0318 | 0.3335 | 0.6670 | 0.6670 | nan | 0.6670 | 0.0 | 0.6670 |
| 0.0099 | 0.73 | 4000 | 0.0315 | 0.3371 | 0.6743 | 0.6743 | nan | 0.6743 | 0.0 | 0.6743 |
| 0.026 | 0.91 | 5000 | 0.0298 | 0.3639 | 0.7278 | 0.7278 | nan | 0.7278 | 0.0 | 0.7278 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- segformer
- License
- other
- Created
- Jul 24, 2023
- Updated
- Jul 24, 2023