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--- |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224-in21k |
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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: fashion-clothing-decade |
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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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# fashion-clothing-decade |
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8707 |
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- Accuracy: 0.7505 |
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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: 3e-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: 10 |
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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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| 0.2495 | 0.98 | 31 | 0.9186 | 0.7305 | |
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| 0.2302 | 2.0 | 63 | 0.8839 | 0.7265 | |
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| 0.1951 | 2.98 | 94 | 0.9035 | 0.7006 | |
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| 0.1658 | 4.0 | 126 | 1.0236 | 0.6986 | |
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| 0.1796 | 4.98 | 157 | 0.8573 | 0.7246 | |
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| 0.1592 | 6.0 | 189 | 0.9642 | 0.7086 | |
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| 0.1523 | 6.98 | 220 | 0.9553 | 0.7046 | |
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| 0.1531 | 8.0 | 252 | 0.9164 | 0.7425 | |
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| 0.2108 | 8.98 | 283 | 0.8650 | 0.7505 | |
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| 0.2468 | 9.84 | 310 | 0.8707 | 0.7505 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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