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convnextv2-tiny-22k-384-finetuned-Spiders – AI Model by zkdeng | AlphaNeural AI
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convnextv2-tiny-22k-384-finetuned-Spiders
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transformers
pytorch
convnextv2
image-classification
generated_from_trainer
facebook/convnextv2-tiny-22k-384
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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convnextv2-tiny-22k-384-finetuned-Spiders
This model is a fine-tuned version of
facebook/convnextv2-tiny-22k-384
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.1945
eval_accuracy: 0.915
eval_precision: 0.8899
eval_recall: 0.9510
eval_f1: 0.9194
eval_runtime: 9.0512
eval_samples_per_second: 22.097
eval_steps_per_second: 1.436
step: 0
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: 2
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
