metadata
tags:
- image-classification
- timm
- generated_from_trainer
library_tag: timm
datasets:
- cats_vs_dogs
my-cool-timm-model-2
This model is a fine-tuned version of 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