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finetuned-fruit-classifier – AI Model by AirellPramono | AlphaNeural AI
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AirellPramono
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finetuned-fruit-classifier
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transformers
tensorboard
safetensors
vit
image-classification
generated_from_trainer
ivandrian11/fruit-classifier
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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finetuned-fruit-classifier
This model is a fine-tuned version of
ivandrian11/fruit-classifier
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1037
Accuracy: 0.95
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0057
1.0
7
0.1005
0.95
0.0041
2.0
14
0.1033
0.95
0.0042
3.0
21
0.1037
0.95
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
