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