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mobilenet_v2_1.0_224-finetuned-32bs-0.01lr – AI Model by elenaThevalley | AlphaNeural AI
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mobilenet_v2_1.0_224-finetuned-32bs-0.01lr
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transformers
pytorch
mobilenet_v2
image-classification
generated_from_trainer
imagefolder
google/mobilenet_v2_1.0_224
finetune
other
model-index
autotrain_compatible
endpoints_compatible
us
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mobilenet_v2_1.0_224-finetuned-32bs-0.01lr
This model is a fine-tuned version of
google/mobilenet_v2_1.0_224
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.2230
Accuracy: 0.9207
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: 0.01
train_batch_size: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 512
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
No log
0.99
53
0.3603
0.8745
No log
1.99
107
0.2323
0.9183
No log
2.96
159
0.2230
0.9207
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
