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msi-resnet-18-pretrain – AI Model by aaa12963337 | AlphaNeural AI
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msi-resnet-18-pretrain
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transformers
safetensors
resnet
image-classification
generated_from_trainer
imagefolder
microsoft/resnet-18
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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msi-resnet-18-pretrain
This model is a fine-tuned version of
microsoft/resnet-18
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.4121
Accuracy: 0.8675
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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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
0.1724
1.0
1562
0.3597
0.8806
0.0543
2.0
3125
0.3707
0.8875
0.0834
3.0
4686
0.4121
0.8675
Framework versions
Transformers 4.35.2
Pytorch 2.0.1+cu118
Datasets 2.15.0
Tokenizers 0.15.0
