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--- |
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license: apache-2.0 |
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base_model: NTQAI/pedestrian_gender_recognition |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: NTQAI_pedestrian_gender_recognition_v1 |
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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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# NTQAI_pedestrian_gender_recognition_v1 |
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This model is a fine-tuned version of [NTQAI/pedestrian_gender_recognition](https://huggingface.co/NTQAI/pedestrian_gender_recognition) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1873 |
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- Accuracy: 0.93 |
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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: 9e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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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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| 0.4561 | 0.96 | 12 | 0.2296 | 0.92 | |
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| 0.3486 | 2.0 | 25 | 0.1873 | 0.93 | |
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| 0.2995 | 2.88 | 36 | 0.1918 | 0.92 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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