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my_awesome_food_model – AI Model by gerald29 | AlphaNeural AI
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gerald29
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my_awesome_food_model
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transformers
safetensors
dinov2
image-classification
generated_from_trainer
facebook/dinov2-base-imagenet1k-1-layer
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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my_awesome_food_model
This model is a fine-tuned version of
facebook/dinov2-base-imagenet1k-1-layer
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1930
Accuracy: 0.943
This is just a model created by following the the Tramnformers tutorial on image classification at
https://huggingface.co/docs/transformers/main/en/tasks/image_classification
So quite worthless
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
0.3989
0.992
62
0.3865
0.867
0.2722
2.0
125
0.2720
0.916
0.126
2.976
186
0.1930
0.943
Framework versions
Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0
