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res18_flower_c5 – AI Model by wucng | AlphaNeural AI
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wucng
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res18_flower_c5
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transformers
tensorboard
safetensors
resnet
image-classification
generated_from_trainer
custom_code
wucng/custom-resnet18
finetune
autotrain_compatible
us
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res18_flower_c5
This model is a fine-tuned version of
wucng/custom-resnet18
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2866
Accuracy: 0.8954
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: 0.0005
train_batch_size: 64
eval_batch_size: 64
seed: 42
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4384
1.0
46
0.2866
0.8954
Framework versions
Transformers 4.36.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.15.0
