metadata
license: other
base_model: nvidia/mit-b0
tags:
- generated_from_trainer
model-index:
- name: segmentation
results: []
segmentation
This model is a fine-tuned version of nvidia/mit-b0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: -0.9095
- Mean Iou: 0.2514
- Mean Accuracy: 1.0
- Overall Accuracy: 1.0
- Per Category Iou: [0.25135050741608117]
- Per Category Accuracy: [1.0]
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou | Per Category Accuracy |
|---|---|---|---|---|---|---|---|---|
| -0.906 | 0.1905 | 20 | -0.5145 | 0.2514 | 1.0 | 1.0 | [0.25135050741608117] | [1.0] |
| -1.2793 | 0.3810 | 40 | -0.7514 | 0.2514 | 1.0 | 1.0 | [0.25135050741608117] | [1.0] |
| -3.2567 | 0.5714 | 60 | -0.9282 | 0.2514 | 1.0 | 1.0 | [0.25135050741608117] | [1.0] |
| -3.8327 | 0.7619 | 80 | -0.9024 | 0.2514 | 1.0 | 1.0 | [0.25135050741608117] | [1.0] |
| -2.1622 | 0.9524 | 100 | -0.9095 | 0.2514 | 1.0 | 1.0 | [0.25135050741608117] | [1.0] |
Framework versions
- Transformers 4.41.2
- Pytorch 2.2.0
- Datasets 2.20.0
- Tokenizers 0.19.1