resnet50_jellyfish_classifier

This model is a fine-tuned version of microsoft/resnet-50 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1954
• Accuracy: 0.9444

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: 0.001
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	23	1.2120	0.5611
No log	2.0	46	0.6042	0.7667
No log	3.0	69	0.3322	0.8667
No log	4.0	92	0.4372	0.8722
No log	5.0	115	0.2465	0.9167
No log	6.0	138	0.2132	0.9333
No log	7.0	161	0.1954	0.9444
No log	8.0	184	0.1981	0.9167
No log	9.0	207	0.1531	0.9389
No log	10.0	230	0.1495	0.9389

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2