|
--- |
|
license: other |
|
tags: |
|
- vision |
|
- image-segmentation |
|
- generated_from_trainer |
|
model-index: |
|
- name: segformer-b0-finetuned-magic-cards-230117 |
|
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-finetuned-magic-cards-230117 |
|
|
|
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the andrewljohnson/magic_cards dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.059 |
|
- Mean Iou: 0.654 |
|
- Mean Accuracy: 0.981 |
|
- Overall Accuracy: 0.983 |
|
- Accuracy Unlabeled: nan |
|
- Accuracy Front: 0.964 |
|
- Accuracy Back: 0.998 |
|
- Iou Unlabeled: 0.0 |
|
- Iou Front: 0.965 |
|
- Iou Back: 0.998 |
|
|
|
## Model description |
|
|
|
Segment magic card front and backs. |
|
|
|
## 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: 50 |
|
|
|
### Training results |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.25.1 |
|
- Pytorch 1.12.1 |
|
- Datasets 2.8.0 |
|
- Tokenizers 0.13.0.dev0 |
|
|
