vit-base-hate-meme

GauravGrow/vit-base-hate-meme

vit-base-hate-meme is a image classification model from GauravGrow. 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: vit
Access: Public
Created: Apr 10, 2024
Updated: Apr 10, 2024
SHA: 31d01125

Base models

google/vit-base-patch16-224

Model card

From the Hugging Face model README

vit-base-hate-meme

This model is a fine-tuned version of google/vit-base-patch16-224 on the emily49/hateful_memes_train_dev dataset. It achieves the following results on the evaluation set:

Loss: 0.6966

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: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 8
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.6407	1.0	532	0.6966
0.5847	2.0	1064	0.7980
0.6144	3.0	1596	0.7764
0.5307	4.0	2128	0.9913
0.5545	5.0	2660	0.9512
0.3243	6.0	3192	1.5071
0.1371	7.0	3724	2.0203
0.0571	8.0	4256	2.9499

Framework versions

Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Apr 10, 2024
Updated: Apr 10, 2024