resnet101_rvl-cdip-cnn_rvl_cdip_100_examples_per_class_simkd_test

This model is a fine-tuned version of microsoft/resnet-50 on the None dataset.

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: 0.0001
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Brier Loss	Nll	F1 Micro	F1 Macro	Ece	Aurc
No log	1.0	400	1578.6876	0.045	1.0031	21.7938	0.045	0.0210	0.1721	0.9563

Framework versions

• Transformers 4.28.0.dev0
• Pytorch 1.12.1+cu113
• Datasets 2.14.5
• Tokenizers 0.12.1