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--- |
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license: other |
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tags: |
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- vision |
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- image-segmentation |
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- generated_from_trainer |
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base_model: nvidia/mit-b0 |
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model-index: |
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- name: segformer-b0-finetuned-human-parsing |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# segformer-b0-finetuned-human-parsing |
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9476 |
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- Mean Iou: 0.0726 |
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- Mean Accuracy: 0.1221 |
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- Overall Accuracy: 0.3575 |
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- Accuracy Background: nan |
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- Accuracy Hat: 0.0048 |
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- Accuracy Hair: 0.4813 |
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- Accuracy Sunglasses: 0.0 |
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- Accuracy Upper-clothes: 0.9405 |
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- Accuracy Skirt: 0.0000 |
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- Accuracy Pants: 0.0631 |
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- Accuracy Dress: 0.1031 |
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- Accuracy Belt: 0.0 |
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- Accuracy Left-shoe: 0.0011 |
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- Accuracy Right-shoe: 0.0010 |
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- Accuracy Face: 0.4406 |
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- Accuracy Left-leg: 0.0291 |
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- Accuracy Right-leg: 0.0 |
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- Accuracy Left-arm: 0.0 |
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- Accuracy Right-arm: 0.0001 |
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- Accuracy Bag: 0.0114 |
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- Accuracy Scarf: 0.0 |
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- Iou Background: 0.0 |
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- Iou Hat: 0.0043 |
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- Iou Hair: 0.4221 |
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- Iou Sunglasses: 0.0 |
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- Iou Upper-clothes: 0.3239 |
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- Iou Skirt: 0.0000 |
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- Iou Pants: 0.0559 |
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- Iou Dress: 0.0728 |
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- Iou Belt: 0.0 |
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- Iou Left-shoe: 0.0011 |
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- Iou Right-shoe: 0.0009 |
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- Iou Face: 0.3872 |
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- Iou Left-leg: 0.0271 |
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- Iou Right-leg: 0.0 |
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- Iou Left-arm: 0.0 |
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- Iou Right-arm: 0.0001 |
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- Iou Bag: 0.0106 |
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- Iou Scarf: 0.0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 6e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Background | Accuracy Hat | Accuracy Hair | Accuracy Sunglasses | Accuracy Upper-clothes | Accuracy Skirt | Accuracy Pants | Accuracy Dress | Accuracy Belt | Accuracy Left-shoe | Accuracy Right-shoe | Accuracy Face | Accuracy Left-leg | Accuracy Right-leg | Accuracy Left-arm | Accuracy Right-arm | Accuracy Bag | Accuracy Scarf | Iou Background | Iou Hat | Iou Hair | Iou Sunglasses | Iou Upper-clothes | Iou Skirt | Iou Pants | Iou Dress | Iou Belt | Iou Left-shoe | Iou Right-shoe | Iou Face | Iou Left-leg | Iou Right-leg | Iou Left-arm | Iou Right-arm | Iou Bag | Iou Scarf | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------------:|:------------:|:-------------:|:-------------------:|:----------------------:|:--------------:|:--------------:|:--------------:|:-------------:|:------------------:|:-------------------:|:-------------:|:-----------------:|:------------------:|:-----------------:|:------------------:|:------------:|:--------------:|:--------------:|:-------:|:--------:|:--------------:|:-----------------:|:---------:|:---------:|:---------:|:--------:|:-------------:|:--------------:|:--------:|:------------:|:-------------:|:------------:|:-------------:|:-------:|:---------:| |
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| 2.5768 | 0.4 | 20 | 2.7812 | 0.0726 | 0.1332 | 0.2876 | nan | 0.0178 | 0.3204 | 0.0004 | 0.5548 | 0.0004 | 0.2555 | 0.2373 | 0.0 | 0.0103 | 0.0003 | 0.5637 | 0.0287 | 0.0302 | 0.0001 | 0.0008 | 0.2435 | 0.0 | 0.0 | 0.0166 | 0.2759 | 0.0001 | 0.2781 | 0.0004 | 0.1710 | 0.1295 | 0.0 | 0.0098 | 0.0003 | 0.3251 | 0.0260 | 0.0248 | 0.0001 | 0.0007 | 0.0491 | 0.0 | |
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| 2.2093 | 0.8 | 40 | 2.5166 | 0.0563 | 0.1052 | 0.3288 | nan | 0.0 | 0.1994 | 0.0 | 0.9447 | 0.0015 | 0.0435 | 0.1164 | 0.0 | 0.0008 | 0.0000 | 0.4655 | 0.0007 | 0.0003 | 0.0 | 0.0 | 0.0153 | 0.0 | 0.0 | 0.0 | 0.1946 | 0.0 | 0.3037 | 0.0015 | 0.0417 | 0.0842 | 0.0 | 0.0008 | 0.0000 | 0.3726 | 0.0007 | 0.0003 | 0.0 | 0.0 | 0.0124 | 0.0 | |
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| 1.8804 | 1.2 | 60 | 2.0209 | 0.0632 | 0.1110 | 0.3374 | nan | 0.0087 | 0.3724 | 0.0 | 0.9475 | 0.0014 | 0.0162 | 0.0528 | 0.0 | 0.0001 | 0.0008 | 0.4257 | 0.0561 | 0.0001 | 0.0 | 0.0 | 0.0055 | 0.0 | 0.0 | 0.0077 | 0.3472 | 0.0 | 0.3086 | 0.0014 | 0.0156 | 0.0403 | 0.0 | 0.0001 | 0.0008 | 0.3597 | 0.0515 | 0.0001 | 0.0 | 0.0 | 0.0052 | 0.0 | |
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| 1.8776 | 1.6 | 80 | 2.0016 | 0.0665 | 0.1154 | 0.3454 | nan | 0.0056 | 0.4172 | 0.0 | 0.9412 | 0.0000 | 0.0490 | 0.0697 | 0.0 | 0.0002 | 0.0006 | 0.4349 | 0.0329 | 0.0000 | 0.0 | 0.0000 | 0.0100 | 0.0 | 0.0 | 0.0048 | 0.3791 | 0.0 | 0.3138 | 0.0000 | 0.0438 | 0.0542 | 0.0 | 0.0002 | 0.0006 | 0.3608 | 0.0304 | 0.0000 | 0.0 | 0.0000 | 0.0093 | 0.0 | |
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| 1.8471 | 2.0 | 100 | 1.9476 | 0.0726 | 0.1221 | 0.3575 | nan | 0.0048 | 0.4813 | 0.0 | 0.9405 | 0.0000 | 0.0631 | 0.1031 | 0.0 | 0.0011 | 0.0010 | 0.4406 | 0.0291 | 0.0 | 0.0 | 0.0001 | 0.0114 | 0.0 | 0.0 | 0.0043 | 0.4221 | 0.0 | 0.3239 | 0.0000 | 0.0559 | 0.0728 | 0.0 | 0.0011 | 0.0009 | 0.3872 | 0.0271 | 0.0 | 0.0 | 0.0001 | 0.0106 | 0.0 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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