videomae-large-fight_22-01-2024

onarganogun/videomae-large-fight_22-01-2024

videomae-large-fight_22-01-2024 is a video classification model from onarganogun. 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. The card lists the license as cc-by-nc-4.0.

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

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At a glance

Task: Video Classification
Library: transformers
License: cc-by-nc-4.0
Model type: videomae
Access: Public
Created: Jan 23, 2024
Updated: Jan 23, 2024
SHA: 29707996

Base models

MCG-NJU/videomae-large

Model card

From the Hugging Face model README

videomae-large-fight_22-01-2024

This model is a fine-tuned version of MCG-NJU/videomae-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6263
Accuracy: 0.8565
Precision: 0.8502
Recall: 0.8655

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-07
train_batch_size: 4
eval_batch_size: 4
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: 9080

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall
0.6582	0.05	454	0.6970	0.5695	0.5660	0.5964
0.6712	1.05	908	0.6281	0.6390	0.6202	0.7175
0.5664	2.05	1362	0.6718	0.6457	0.6555	0.6143
0.5645	3.05	1816	0.5835	0.7018	0.6974	0.7130
0.4259	4.05	2270	0.5497	0.7197	0.7402	0.6771
0.3542	5.05	2724	0.5509	0.7466	0.7434	0.7534
0.3676	6.05	3178	0.4956	0.7623	0.7532	0.7803
0.2656	7.05	3632	0.5263	0.7534	0.7811	0.7040
0.4675	8.05	4086	0.5216	0.7915	0.8009	0.7758
0.1434	9.05	4540	0.4744	0.8094	0.8136	0.8027
0.1389	10.05	4994	0.5389	0.8318	0.8274	0.8386
0.3228	11.05	5448	0.5345	0.8341	0.8599	0.7982
0.1044	12.05	5902	0.5729	0.8341	0.8465	0.8161
0.0305	13.05	6356	0.5812	0.8363	0.8378	0.8341
0.1256	14.05	6810	0.5806	0.8520	0.8489	0.8565
0.2735	15.05	7264	0.5713	0.8520	0.8618	0.8386
0.2376	16.05	7718	0.6030	0.8498	0.8578	0.8386
0.2978	17.05	8172	0.6263	0.8565	0.8502	0.8655
0.3872	18.05	8626	0.6099	0.8520	0.8489	0.8565
0.6629	19.05	9080	0.6142	0.8543	0.8496	0.8610

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0

Task: Video Classification
Library: transformers
Type: videomae
License: cc-by-nc-4.0
Created: Jan 23, 2024
Updated: Jan 23, 2024