|
--- |
|
license: other |
|
base_model: nvidia/mit-b0 |
|
tags: |
|
- image-segmentation |
|
- vision |
|
- generated_from_trainer |
|
model-index: |
|
- name: segformer-finetuned-TMSL21_Sunlit_Tomatoes |
|
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-finetuned-TMSL21_Sunlit_Tomatoes |
|
|
|
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the janakipanneerselvam/TMSL21_Sunlit_Tomatoes dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0197 |
|
- Mean Iou: 0.0 |
|
- Mean Accuracy: nan |
|
- Overall Accuracy: nan |
|
- Accuracy Sunlit: nan |
|
- Iou Sunlit: 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: 8 |
|
- eval_batch_size: 8 |
|
- seed: 1337 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: polynomial |
|
- training_steps: 100 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Sunlit | Iou Sunlit | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:---------------:|:----------:| |
|
| 0.0164 | 0.24 | 100 | 0.0197 | 0.0 | nan | nan | nan | 0.0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.36.0.dev0 |
|
- Pytorch 2.1.0+cu118 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.15.0 |
|
|
