my_first_model

This model is a fine-tuned version of microsoft/resnet-50 on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.6853
• Accuracy: 0.6

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: 1
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6918	1.0	23	0.6895	0.8
0.7019	2.0	46	0.6859	0.6
0.69	3.0	69	0.6853	0.6

Framework versions

• Transformers 4.22.0.dev0
• Pytorch 1.12.0+cu102
• Datasets 2.4.0
• Tokenizers 0.12.1