mobilenet_v2_1.4_224-northern-pikes

This model is a fine-tuned version of google/mobilenet_v2_1.4_224 on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.0281
• Accuracy: 0.9937

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
0.3107	0.98	22	0.1320	0.9708
0.0701	2.0	45	0.0362	0.9854
0.0451	2.93	66	0.0281	0.9937

Framework versions

• Transformers 4.30.2
• Pytorch 1.13.1+cu117
• Datasets 2.13.1
• Tokenizers 0.13.3