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convnext-large-224-attempt-m – AI Model by mruby | AlphaNeural AI
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convnext-large-224-attempt-m
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transformers
pytorch
tensorboard
convnext
image-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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convnext-large-224-attempt-m
This model is a fine-tuned version of
facebook/convnext-large-224
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0928
Accuracy: 0.9725
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4045
0.99
33
0.2494
0.9471
0.143
1.98
66
0.1107
0.9641
0.1086
2.98
99
0.0928
0.9725
Framework versions
Transformers 4.27.4
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3
