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my_awesome_food_model – AI Model by suncy13 | AlphaNeural AI
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my_awesome_food_model
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transformers
tensorboard
safetensors
dinov2
image-classification
generated_from_trainer
food101
facebook/dinov2-small-imagenet1k-1-layer
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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my_awesome_food_model
This model is a fine-tuned version of
facebook/dinov2-small-imagenet1k-1-layer
on the food101 dataset. It achieves the following results on the evaluation set:
Loss: 0.2296
Accuracy: 0.933
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
0.4769
0.99
62
0.5877
0.805
0.3517
2.0
125
0.3854
0.872
0.2431
2.98
186
0.2296
0.933
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
