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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