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my-cool-timm-model-3 – AI Model by nateraw | AlphaNeural AI | AlphaNeural AI
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my-cool-timm-model-3
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timm
pytorch
tensorboard
image-classification
generated_from_trainer
cats_vs_dogs
us
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my-cool-timm-model-3
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: 0.2455
Acc1: 94.4175
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
0.5152
0.14
10
0.2455
94.4175
100.0
Framework versions
Transformers 4.12.3
Pytorch 1.10.0+cu111
Datasets 1.15.1
Tokenizers 0.10.3