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resnet-50-finetuned-dangerousSpiders – AI Model by zkdeng | AlphaNeural AI
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resnet-50-finetuned-dangerousSpiders
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transformers
pytorch
resnet
image-classification
generated_from_trainer
microsoft/resnet-50
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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resnet-50-finetuned-dangerousSpiders
This model is a fine-tuned version of
microsoft/resnet-50
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 1.8733
eval_accuracy: 0.5635
eval_precision: 0.1112
eval_recall: 0.0821
eval_f1: 0.0750
eval_runtime: 120.0747
eval_samples_per_second: 224.177
eval_steps_per_second: 14.016
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 4.33.2
Pytorch 2.2.0.dev20230921
Datasets 2.14.5
Tokenizers 0.13.3
