| | --- |
| | library_name: transformers |
| | license: other |
| | base_model: facebook/mask2former-swin-tiny-coco-instance |
| | tags: |
| | - image-segmentation |
| | - instance-segmentation |
| | - vision |
| | - generated_from_trainer |
| | model-index: |
| | - name: finetune-instance-segmentation-posture |
| | 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. --> |
| |
|
| | # finetune-instance-segmentation-posture |
| |
|
| | This model is a fine-tuned version of [facebook/mask2former-swin-tiny-coco-instance](https://huggingface.co/facebook/mask2former-swin-tiny-coco-instance) on the qubvel-hf/ade20k-mini dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 30.5625 |
| | - Map: 0.2089 |
| | - Map 50: 0.4081 |
| | - Map 75: 0.1963 |
| | - Map Small: 0.1412 |
| | - Map Medium: 0.6277 |
| | - Map Large: 0.8115 |
| | - Mar 1: 0.0944 |
| | - Mar 10: 0.25 |
| | - Mar 100: 0.2879 |
| | - Mar Small: 0.2137 |
| | - Mar Medium: 0.7147 |
| | - Mar Large: 0.8531 |
| | - Map Person: 0.1381 |
| | - Mar 100 Person: 0.2036 |
| | - Map Car: 0.2797 |
| | - Mar 100 Car: 0.3722 |
| |
|
| | ## 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: 1e-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 2 |
| | - total_train_batch_size: 16 |
| | - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: constant |
| | - num_epochs: 2.0 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Map | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1 | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Person | Mar 100 Person | Map Car | Mar 100 Car | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:----------:|:--------------:|:-------:|:-----------:| |
| | | 34.1337 | 1.0 | 100 | 32.3431 | 0.1958 | 0.3913 | 0.181 | 0.1319 | 0.6051 | 0.7775 | 0.0924 | 0.2465 | 0.2845 | 0.2104 | 0.7094 | 0.8587 | 0.1243 | 0.2001 | 0.2673 | 0.3689 | |
| | | 28.4514 | 2.0 | 200 | 30.5625 | 0.2089 | 0.4081 | 0.1963 | 0.1412 | 0.6277 | 0.8115 | 0.0944 | 0.25 | 0.2879 | 0.2137 | 0.7147 | 0.8531 | 0.1381 | 0.2036 | 0.2797 | 0.3722 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.47.0.dev0 |
| | - Pytorch 2.3.1+cu121 |
| | - Datasets 3.0.2 |
| | - Tokenizers 0.20.1 |
| | |
