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efficientnet_b1-food101 – AI Model by gabrielganan | AlphaNeural AI
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gabrielganan
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efficientnet_b1-food101
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transformers
safetensors
efficientnet
image-classification
generated_from_trainer
food101
google/efficientnet-b1
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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efficientnet_b1-food101
This model is a fine-tuned version of
google/efficientnet-b1
on
food101
dataset. It achieves the following results on the evaluation set:
Loss: 0.0490
Accuracy: 0.9947
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: 0.0002
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_steps: 500
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
47
4.3674
0.1548
No log
2.0
94
3.1870
0.8915
No log
3.0
141
0.8758
0.9751
No log
4.0
188
0.1010
0.9858
No log
5.0
235
0.0503
0.9893
Framework versions
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
