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