metadata
license: other
base_model: nvidia/mit-b0
tags:
- generated_from_trainer
model-index:
- name: mit-b0-building-damage-lora
results: []
mit-b0-building-damage-lora
This model is a fine-tuned version of nvidia/mit-b0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Mean Iou: 0.0
- Mean Accuracy: nan
- Overall Accuracy: nan
- Accuracy Background: nan
- Accuracy Building: nan
- Iou Background: 0.0
- Iou Building: 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Background | Accuracy Building | Iou Background | Iou Building |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.2415 | 1.0 | 5 | nan | 0.0 | nan | nan | nan | nan | 0.0 | 0.0 |
| 0.0067 | 2.0 | 10 | nan | 0.0 | nan | nan | nan | nan | 0.0 | 0.0 |
| 0.0014 | 3.0 | 15 | nan | 0.0 | nan | nan | nan | nan | 0.0 | 0.0 |
| 0.0008 | 4.0 | 20 | nan | 0.0 | nan | nan | nan | nan | 0.0 | 0.0 |
| 0.0019 | 5.0 | 25 | nan | 0.0 | nan | nan | nan | nan | 0.0 | 0.0 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1