Model save

README.md

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+---
+library_name: transformers
+license: other
+base_model: facebook/mask2former-swin-tiny-coco-instance
+tags:
+- 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 an unknown 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