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update model card README.md

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+ ---
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+ tags:
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+ - image-classification
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+ - timm
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+ - generated_from_trainer
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+ datasets:
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+ - cats_vs_dogs
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+ model-index:
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+ - name: my-cool-timm-model-3
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+ results: []
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+ ---
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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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+
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+ # my-cool-timm-model-3
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+
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+ This model is a fine-tuned version of [resnet18](https://huggingface.co/resnet18) on the cats_vs_dogs dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2455
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+ - Acc1: 94.4175
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+ - Acc5: 100.0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 256
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+ - eval_batch_size: 256
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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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+ - training_steps: 10
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Acc1 | Acc5 |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-----:|
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+ | 0.5152 | 0.14 | 10 | 0.2455 | 94.4175 | 100.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.12.3
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+ - Pytorch 1.10.0+cu111
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+ - Datasets 1.15.1
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+ - Tokenizers 0.10.3