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--- |
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license: apache-2.0 |
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base_model: microsoft/resnet-50 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- fair_face |
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metrics: |
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- accuracy |
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model-index: |
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- name: trained-race |
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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: fair_face |
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type: fair_face |
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config: '0.25' |
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split: validation |
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args: '0.25' |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.625798794960745 |
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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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# trained-race |
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This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the fair_face dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9830 |
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- Accuracy: 0.6258 |
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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: 0.0002 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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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: 4 |
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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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| 1.3923 | 0.18 | 1000 | 1.3550 | 0.4712 | |
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| 1.1517 | 0.37 | 2000 | 1.1854 | 0.5429 | |
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| 1.2405 | 0.55 | 3000 | 1.1001 | 0.5754 | |
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| 1.0752 | 0.74 | 4000 | 1.0330 | 0.6018 | |
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| 1.0986 | 0.92 | 5000 | 0.9973 | 0.6173 | |
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| 1.0007 | 1.11 | 6000 | 0.9735 | 0.6279 | |
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| 0.9851 | 1.29 | 7000 | 0.9830 | 0.6258 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.0 |
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