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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: timm/resnet18.a1_in1k |
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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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metrics: |
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- accuracy |
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model-index: |
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- name: vit-base-beans |
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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-beans |
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This model is a fine-tuned version of [timm/resnet18.a1_in1k](https://huggingface.co/timm/resnet18.a1_in1k) on the beans dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0324 |
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- Accuracy: 0.6917 |
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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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| 1.0884 | 1.0 | 130 | 1.0903 | 0.4060 | |
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| 1.0721 | 2.0 | 260 | 1.0681 | 0.5188 | |
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| 1.0623 | 3.0 | 390 | 1.0460 | 0.6391 | |
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| 1.052 | 4.0 | 520 | 1.0410 | 0.6165 | |
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| 1.0519 | 5.0 | 650 | 1.0324 | 0.6917 | |
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### Framework versions |
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- Transformers 4.46.0.dev0 |
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- Pytorch 2.4.0 |
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- Datasets 2.15.1.dev0 |
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- Tokenizers 0.20.0 |
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