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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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library_tag: timm |
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datasets: |
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- cats_vs_dogs |
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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-2 |
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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: 0.2510 |
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- Acc1: 95.2150 |
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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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| No log | 0.07 | 5 | 0.3436 | 92.0820 | 100.0 | |
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| 0.4914 | 0.14 | 10 | 0.2510 | 95.2150 | 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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