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--- |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224 |
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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: vit-base-patch16-224-dmae-va-U3-40A |
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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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# vit-base-patch16-224-dmae-va-U3-40A |
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0213 |
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- Accuracy: 1.0 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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: 40 |
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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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| No log | 1.0 | 7 | 1.3292 | 0.3737 | |
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| 1.3407 | 2.0 | 14 | 1.1079 | 0.5152 | |
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| 1.3407 | 3.0 | 21 | 0.8918 | 0.6263 | |
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| 0.9919 | 4.0 | 28 | 0.6447 | 0.7879 | |
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| 0.9919 | 5.0 | 35 | 0.4502 | 0.8283 | |
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| 0.5761 | 6.0 | 42 | 0.2720 | 0.9192 | |
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| 0.3111 | 7.0 | 49 | 0.2302 | 0.9293 | |
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| 0.3111 | 8.0 | 56 | 0.1650 | 0.9495 | |
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| 0.204 | 9.0 | 63 | 0.1503 | 0.9495 | |
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| 0.204 | 10.0 | 70 | 0.0814 | 0.9798 | |
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| 0.1518 | 11.0 | 77 | 0.0604 | 0.9798 | |
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| 0.1272 | 12.0 | 84 | 0.1265 | 0.9495 | |
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| 0.1272 | 13.0 | 91 | 0.0518 | 0.9798 | |
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| 0.1379 | 14.0 | 98 | 0.0448 | 0.9899 | |
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| 0.1379 | 15.0 | 105 | 0.0361 | 0.9899 | |
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| 0.092 | 16.0 | 112 | 0.0322 | 0.9899 | |
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| 0.092 | 17.0 | 119 | 0.0213 | 1.0 | |
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| 0.0762 | 18.0 | 126 | 0.0469 | 0.9899 | |
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| 0.0954 | 19.0 | 133 | 0.0615 | 0.9899 | |
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| 0.0954 | 20.0 | 140 | 0.0313 | 0.9899 | |
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| 0.0795 | 21.0 | 147 | 0.0381 | 0.9899 | |
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| 0.0795 | 22.0 | 154 | 0.0138 | 1.0 | |
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| 0.077 | 23.0 | 161 | 0.0170 | 1.0 | |
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| 0.0675 | 24.0 | 168 | 0.0107 | 1.0 | |
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| 0.0675 | 25.0 | 175 | 0.0193 | 0.9899 | |
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| 0.0659 | 26.0 | 182 | 0.0255 | 0.9899 | |
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| 0.0659 | 27.0 | 189 | 0.0201 | 0.9899 | |
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| 0.0758 | 28.0 | 196 | 0.0325 | 0.9899 | |
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| 0.0758 | 29.0 | 203 | 0.0110 | 1.0 | |
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| 0.0589 | 30.0 | 210 | 0.0159 | 1.0 | |
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| 0.0521 | 31.0 | 217 | 0.0319 | 0.9899 | |
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| 0.0521 | 32.0 | 224 | 0.0294 | 0.9798 | |
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| 0.0618 | 33.0 | 231 | 0.0392 | 0.9798 | |
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| 0.0618 | 34.0 | 238 | 0.0269 | 0.9899 | |
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| 0.0422 | 35.0 | 245 | 0.0210 | 0.9899 | |
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| 0.0551 | 36.0 | 252 | 0.0178 | 0.9899 | |
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| 0.0551 | 37.0 | 259 | 0.0159 | 0.9899 | |
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| 0.0518 | 38.0 | 266 | 0.0124 | 0.9899 | |
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| 0.0518 | 39.0 | 273 | 0.0112 | 1.0 | |
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| 0.0313 | 40.0 | 280 | 0.0110 | 1.0 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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