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utkface-race-classifications – AI Model by raffaelsiregar | AlphaNeural AI
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utkface-race-classifications
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transformers
tensorboard
safetensors
resnet
image-classification
generated_from_trainer
microsoft/resnet-50
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
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results
This model is a fine-tuned version of
microsoft/resnet-50
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4743
Accuracy: 0.8486
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: 0.001
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6744
1.0
667
0.5635
0.7980
0.485
2.0
1334
0.4799
0.8342
0.2414
3.0
2001
0.4743
0.8486
0.1413
4.0
2668
0.5983
0.8444
0.0489
5.0
3335
0.6865
0.8541
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1