resnet101_rvl-cdip-cnn_rvl_cdip_100_examples_per_class_simkd_test

jordyvl/resnet101_rvl-cdip-cnn_rvl_cdip_100_examples_per_class_simkd_test

resnet101_rvl-cdip-cnn_rvl_cdip_100_examples_per_class_simkd_test is a image classification model from jordyvl. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: resnet
Access: Public
Created: Nov 5, 2023
Updated: Nov 5, 2023
SHA: 32bd28c3

Model card

From the Hugging Face model README

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

Task: Image Classification
Library: transformers
Type: resnet
License: apache-2.0
Created: Nov 5, 2023
Updated: Nov 5, 2023