readme: ---
  tags:
  - image-classification
  - timm
  - generated_from_trainer
  library_tag: timm
  datasets:
  - cats_vs_dogs
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # my-cool-timm-model-2
  
  This model is a fine-tuned version of [resnet18](https://huggingface.co/resnet18) on the cats_vs_dogs dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2510
  - Acc1: 95.2150
  - Acc5: 100.0
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 5e-05
  - train_batch_size: 256
  - eval_batch_size: 256
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - training_steps: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Acc1    | Acc5  |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-----:|
  | No log        | 0.07  | 5    | 0.3436          | 92.0820 | 100.0 |
  | 0.4914        | 0.14  | 10   | 0.2510          | 95.2150 | 100.0 |
  
  
  ### Framework versions
  
  - Transformers 4.12.3
  - Pytorch 1.10.0+cu111
  - Datasets 1.15.1
  - Tokenizers 0.10.3
  