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--- |
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license: apache-2.0 |
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tags: |
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- image-classification |
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- vision |
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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: vit-base-mnist |
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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: farleyknight/roman_numerals |
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type: imagefolder |
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config: default |
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split: train |
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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: 0.8308823529411765 |
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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-mnist |
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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 the farleyknight/roman_numerals dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6891 |
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- Accuracy: 0.8309 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 1337 |
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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: 5.0 |
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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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| 1.9053 | 1.0 | 289 | 1.3241 | 0.7108 | |
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| 1.3293 | 2.0 | 578 | 0.9333 | 0.7892 | |
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| 1.1251 | 3.0 | 867 | 0.7989 | 0.7843 | |
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| 0.9837 | 4.0 | 1156 | 0.6956 | 0.8186 | |
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| 0.999 | 5.0 | 1445 | 0.6891 | 0.8309 | |
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### Framework versions |
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- Transformers 4.22.0.dev0 |
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- Pytorch 1.11.0a0+17540c5 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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