AV_MAE_FAVC_noCE_new

yadvender12/AV_MAE_FAVC_noCE_new

AV_MAE_FAVC_noCE_new is a video classification model from yadvender12. Use it for the video classification task on the model card, and read the license before you ship it in a product. It is set up for transformers.

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

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At a glance

Task: Video Classification
Library: transformers
Model type: videomae
Access: Public
Created: May 16, 2024
Updated: May 16, 2024
SHA: 34fb6dda

Base models

yadvender12/AV_MAE_LAVDF_noCE_new

Model card

From the Hugging Face model README

AV_MAE_FAVC_noCE_new

This model is a fine-tuned version of yadvender12/AV_MAE_LAVDF_noCE_new on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1253
Accuracy: 0.9784
F1: 0.9704

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 9985
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.0012	1.0	9985	0.1253	0.9784	0.9704

Framework versions

Transformers 4.37.2
Pytorch 2.2.1+cu118
Datasets 2.18.0
Tokenizers 0.15.1

Task: Video Classification
Library: transformers
Type: videomae
Created: May 16, 2024
Updated: May 16, 2024