mvit_v1_b_transf_c_rwf2000

DanJoshua/mvit_v1_b_transf_c_rwf2000

mvit_v1_b_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. --

Downloads · 30 days

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Public

Updated Aug 23, 2024

Parameters

36.7M

1 GB on disk

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Public

Hugging Face

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.safetensors147 MB · 100%

At a glance

Library: transformers
Access: Public
Created: Aug 23, 2024
Updated: Aug 23, 2024
SHA: a8c5686a

Model card

From the Hugging Face model README

mvit_v1_b_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: 0.6310
Accuracy: 0.6
F1: 0.5949
Precision: 0.6053

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: 2850

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision
0.7632	0.0667	190	0.7135	0.475	0.3593	0.4099
0.7848	1.0667	380	0.6864	0.575	0.5467	0.6
0.712	2.0667	570	0.6801	0.6188	0.6133	0.6258
0.6699	3.0667	760	0.6467	0.6625	0.6591	0.6693
0.6366	4.0667	950	0.7547	0.5437	0.4719	0.5959
0.7712	5.0667	1140	0.6155	0.6562	0.6502	0.6678
0.6199	6.0667	1330	0.6310	0.6	0.5949	0.6053

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 23, 2024