results

xanore/results

results is a image classification model from xanore. 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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Hugging Face

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At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: vit
Access: Public
Created: Nov 9, 2023
Updated: Nov 12, 2023
SHA: 0ff5b4a1

Base models

google/vit-base-patch16-224-in21k

Model card

From the Hugging Face model README

Intro

Just a ML-2 HSE course homework done by Zaryvnykh Amaliya, DSBA201

Results

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0381
Accuracy: 0.9867

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: 0.0002
train_batch_size: 16
eval_batch_size: 16
seed: 1337
gradient_accumulation_steps: 16
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0984	0.98	26	0.0847	0.9725
0.0493	2.0	53	0.0480	0.9842
0.0407	2.97	79	0.0456	0.9867
0.033	3.99	106	0.0400	0.9858
0.0261	4.89	130	0.0388	0.9892

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Nov 9, 2023
Updated: Nov 12, 2023