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---
license: other
base_model: nvidia/mit-b0
tags:
- generated_from_trainer
model-index:
- name: segformer-b0-scene-parse-150
results: []
---
<!-- 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. -->
# segformer-b0-scene-parse-150
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: -34.0382
- Mean Iou: 0.0
- Mean Accuracy: nan
- Overall Accuracy: nan
- Per Category Iou: [0.0]
- Per Category Accuracy: [nan]
## 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 | Per Category Iou | Per Category Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:----------------:|:---------------------:|
| -14.0066 | 0.95 | 20 | -4.7161 | 0.0 | nan | nan | [0.0] | [nan] |
| -22.6107 | 1.9 | 40 | -10.5378 | 0.0 | nan | nan | [0.0] | [nan] |
| -19.9201 | 2.86 | 60 | -21.2021 | 0.0 | nan | nan | [0.0] | [nan] |
| -28.3712 | 3.81 | 80 | -21.2437 | 0.0 | nan | nan | [0.0] | [nan] |
| -37.3469 | 4.76 | 100 | -28.5338 | 0.0 | nan | nan | [0.0] | [nan] |
| -37.3102 | 5.71 | 120 | -31.3866 | 0.0 | nan | nan | [0.0] | [nan] |
| -39.3847 | 6.67 | 140 | -36.0143 | 0.0 | nan | nan | [0.0] | [nan] |
| -39.0931 | 7.62 | 160 | -31.5379 | 0.0 | nan | nan | [0.0] | [nan] |
| -43.0727 | 8.57 | 180 | -33.0026 | 0.0 | nan | nan | [0.0] | [nan] |
| -47.8338 | 9.52 | 200 | -34.0382 | 0.0 | nan | nan | [0.0] | [nan] |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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