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--- |
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license: other |
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base_model: google/mobilenet_v2_0.75_160 |
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tags: |
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- image-classification |
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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: day-night |
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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: validation |
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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: 0.9988452655889145 |
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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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# day-night |
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This model is a fine-tuned version of [google/mobilenet_v2_0.75_160](https://huggingface.co/google/mobilenet_v2_0.75_160) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0030 |
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- Accuracy: 0.9988 |
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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: 0.0001 |
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- train_batch_size: 10 |
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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: 5 |
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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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| 0.1021 | 0.6 | 200 | 0.0679 | 0.9734 | |
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| 0.0199 | 1.19 | 400 | 0.0184 | 0.9919 | |
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| 0.0723 | 1.79 | 600 | 0.6625 | 0.7852 | |
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| 0.0247 | 2.38 | 800 | 0.0030 | 0.9988 | |
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| 0.0273 | 2.98 | 1000 | 0.0254 | 0.9885 | |
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| 0.012 | 3.57 | 1200 | 0.0177 | 0.9965 | |
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| 0.0142 | 4.17 | 1400 | 0.0282 | 0.9908 | |
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| 0.009 | 4.76 | 1600 | 0.0189 | 0.9977 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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