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resnet-18-finetuned-dogfood – AI Model by douwekiela | AlphaNeural AI
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douwekiela
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resnet-18-finetuned-dogfood
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transformers
pytorch
tensorboard
resnet
image-classification
generated_from_trainer
imagefolder
lewtun/dog_food
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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resnet-18-finetuned-dogfood
This model is a fine-tuned version of
microsoft/resnet-18
on the lewtun/dog_food dataset. It achieves the following results on the evaluation set:
Loss: 0.2991
Accuracy: 0.896
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.846
1.0
16
0.2662
0.9156
Framework versions
Transformers 4.20.1
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
