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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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- huggingpics |
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- generated_from_trainer |
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model-index: |
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- name: huggingpics-package-demo |
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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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# huggingpics-package-demo |
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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: 0.3761 |
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- Acc: 0.9403 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 4.0 |
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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 | Acc | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 1.0328 | 1.0 | 24 | 0.9442 | 0.7463 | |
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| 0.8742 | 2.0 | 48 | 0.7099 | 0.9403 | |
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| 0.6451 | 3.0 | 72 | 0.5050 | 0.9403 | |
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| 0.508 | 4.0 | 96 | 0.3761 | 0.9403 | |
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### Framework versions |
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- Transformers 4.12.3 |
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- Pytorch 1.9.0+cu111 |
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- Tokenizers 0.10.3 |
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