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--- |
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license: apache-2.0 |
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tags: |
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- image-classification |
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- vision |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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metrics: |
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- accuracy |
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model-index: |
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- name: pedestrian_age_recognition_local |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: imagefolder |
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type: imagefolder |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.8073394495412844 |
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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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# pedestrian_age_recognition_local |
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5004 |
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- Accuracy: 0.8073 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 1337 |
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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: 10.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.8849 | 1.0 | 2008 | 0.7939 | 0.6807 | |
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| 0.9836 | 2.0 | 4016 | 0.6694 | 0.7336 | |
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| 0.8128 | 3.0 | 6024 | 0.5768 | 0.7668 | |
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| 0.7611 | 4.0 | 8032 | 0.5541 | 0.7833 | |
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| 0.6441 | 5.0 | 10040 | 0.5473 | 0.7773 | |
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| 0.5696 | 6.0 | 12048 | 0.5187 | 0.7971 | |
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| 0.6925 | 7.0 | 14056 | 0.5082 | 0.8038 | |
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| 0.5711 | 8.0 | 16064 | 0.5092 | 0.8098 | |
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| 0.7741 | 9.0 | 18072 | 0.5026 | 0.8020 | |
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| 0.5269 | 10.0 | 20080 | 0.5004 | 0.8073 | |
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### Framework versions |
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- Transformers 4.24.0.dev0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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