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convnextv2_base_food101 – AI Model by lakshyaM | AlphaNeural AI
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lakshyaM
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convnextv2_base_food101
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transformers
tensorboard
safetensors
convnextv2
image-classification
generated_from_trainer
facebook/convnextv2-base-1k-224
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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convnextv2_base_food101
This model is a fine-tuned version of
facebook/convnextv2-base-1k-224
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8168
Accuracy: 0.879
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
2.7312
0.99
62
2.5255
0.67
1.5322
2.0
125
1.4561
0.801
1.0416
2.99
187
1.0503
0.846
0.8151
4.0
250
0.8770
0.8675
0.7454
4.96
310
0.8168
0.879
Framework versions
Transformers 4.38.1
Pytorch 2.2.1
Datasets 2.17.1
Tokenizers 0.15.2
