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--- |
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license: other |
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base_model: apple/mobilevit-x-small |
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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: tebak-gambar-mobilevit |
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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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# tebak-gambar-mobilevit |
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This model is a fine-tuned version of [apple/mobilevit-x-small](https://huggingface.co/apple/mobilevit-x-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0799 |
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- Accuracy: 0.7289 |
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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: 0.0008 |
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- train_batch_size: 256 |
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- eval_batch_size: 256 |
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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: 3 |
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- mixed_precision_training: Native AMP |
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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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| 1.5084 | 0.2844 | 5000 | 1.4700 | 0.6364 | |
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| 1.3684 | 0.5689 | 10000 | 1.3353 | 0.6674 | |
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| 1.3568 | 0.8533 | 15000 | 1.2764 | 0.6804 | |
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| 1.226 | 1.1377 | 20000 | 1.2323 | 0.6924 | |
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| 1.2125 | 1.4222 | 25000 | 1.1850 | 0.7031 | |
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| 1.1912 | 1.7066 | 30000 | 1.1567 | 0.7092 | |
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| 1.1902 | 1.9910 | 35000 | 1.1297 | 0.7165 | |
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| 1.131 | 2.2754 | 40000 | 1.1106 | 0.7213 | |
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| 1.124 | 2.5599 | 45000 | 1.0916 | 0.7258 | |
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| 1.1245 | 2.8443 | 50000 | 1.0782 | 0.7300 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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