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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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<!-- 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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# my-cool-timm-model-3
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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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## 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: 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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### Training results
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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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### Framework versions
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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
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