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resnet-50-finetuned-cats_vs_dogs – AI Model by tangocrazyguy | AlphaNeural AI
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resnet-50-finetuned-cats_vs_dogs
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transformers
pytorch
resnet
image-classification
generated_from_trainer
cats_vs_dogs
microsoft/resnet-50
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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resnet-50-finetuned-cats_vs_dogs
This model is a fine-tuned version of
microsoft/resnet-50
on the cats_vs_dogs dataset. It achieves the following results on the evaluation set:
Loss: 0.0889
Accuracy: 0.9893
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4648
1.0
128
0.3423
0.9781
0.2417
2.0
256
0.1214
0.9866
0.2032
2.99
384
0.0889
0.9893
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
