Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
resnet-18-finetuned-cifar10 – AI Model by raks87 | AlphaNeural AI | AlphaNeural AI
You can deploy this model and start earning money today!
raks87
/
resnet-18-finetuned-cifar10
like
0
transformers
tensorboard
safetensors
resnet
image-classification
generated_from_trainer
microsoft/resnet-18
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
resnet-18-finetuned-cifar10
This model is a fine-tuned version of
microsoft/resnet-18
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
Accuracy: 0.1017
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
0.0
1.0
273
nan
0.1017
0.0
2.0
547
nan
0.1017
0.0
2.99
819
nan
0.1017
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
