update model card README.md

README.md

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+---
+tags:
+- image-classification
+- timm
+- generated_from_trainer
+datasets:
+- cats_vs_dogs
+model-index:
+- name: my-cool-timm-model-2
+  results: []
+---
+
+<!-- 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