mvit_v2_s_Kinetics400_transf_b_rwf2000

DanJoshua/mvit_v2_s_Kinetics400_transf_b_rwf2000

mvit_v2_s_Kinetics400_transf_b_rwf2000 is a machine learning model from DanJoshua. Use it for the machine learning 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. --

Downloads · 30 days

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Public

Updated Aug 24, 2024

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969 MB on disk

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At a glance

Library: transformers
Access: Public
Created: Aug 23, 2024
Updated: Aug 24, 2024
SHA: b0f764ce

Model card

From the Hugging Face model README

mvit_v2_s_Kinetics400_transf_b_rwf2000

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

Loss: 0.3624
Accuracy: 0.905
F1: 0.9050
Precision: 0.9054

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: 1e-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
training_steps: 1900

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision
0.4714	0.1	190	0.4167	0.8562	0.8553	0.8659
0.4534	1.1	380	0.3293	0.8938	0.8928	0.9081
0.2061	2.1	570	0.2627	0.9187	0.9185	0.9241
0.142	3.1	760	0.2556	0.9375	0.9375	0.9375
0.4586	4.1	950	0.3117	0.9375	0.9373	0.9419
0.3396	5.1	1140	0.4245	0.9125	0.9120	0.9220
0.593	6.1	1330	0.2777	0.9375	0.9374	0.9400

Framework versions

Transformers 4.44.2
Pytorch 2.0.1+cu118
Datasets 2.21.0
Tokenizers 0.19.1

Library: transformers
Created: Aug 23, 2024
Updated: Aug 24, 2024