mvit_v2_s_Kinetics400_transf_c_rwf2000

DanJoshua/mvit_v2_s_Kinetics400_transf_c_rwf2000

mvit_v2_s_Kinetics400_transf_c_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. --

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Public

Updated Aug 24, 2024

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831 MB on disk

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At a glance

Library: transformers
Access: Public
Created: Aug 24, 2024
Updated: Aug 24, 2024
SHA: edde5bae

Model card

From the Hugging Face model README

mvit_v2_s_Kinetics400_transf_c_rwf2000

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

Loss: 0.2999
Accuracy: 0.8862
F1: 0.8861
Precision: 0.8880

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
0.4345	0.1	190	0.6745	0.725	0.7046	0.8106
0.5054	1.1	380	0.3968	0.8562	0.8537	0.8826
0.2138	2.1	570	0.2885	0.9125	0.9123	0.9167
0.4265	3.1	760	0.2591	0.9125	0.9125	0.9125
0.4049	4.1	950	0.3838	0.8875	0.8864	0.9036
0.3757	5.1	1140	0.4311	0.875	0.8734	0.8950

Framework versions

Transformers 4.44.2
Pytorch 2.0.1+cu118
Datasets 2.21.0
Tokenizers 0.19.1

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