| 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 | |