mvit_v2_rwf-2000

DanJoshua/mvit_v2_rwf-2000

mvit_v2_rwf-2000 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.

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

Downloads · 30 days

Access

Public

Updated Aug 8, 2024

Parameters

34.6M

4 GB on disk

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Public

Hugging Face

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.safetensors138 MB · 100%

At a glance

Access: Public
Created: Aug 6, 2024
Updated: Aug 8, 2024
SHA: c5b70f51

Model card

From the Hugging Face model README

mvit_v2_rwf-2000

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

Loss: 0.3786
Accuracy: 0.8875
F1: 0.8873
Precision: 0.8907

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: 2e-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: 1520

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision
0.4242	0.125	190	0.4227	0.8375	0.8366	0.8453
0.3906	1.125	380	0.2933	0.9	0.8999	0.9010
0.3199	2.125	570	0.3034	0.9313	0.9312	0.9313
0.2239	3.125	760	0.3611	0.9125	0.9124	0.9135
0.1747	4.125	950	0.3475	0.9313	0.9312	0.9313
0.1702	5.125	1140	0.3667	0.9313	0.9312	0.9313

Framework versions

Transformers 4.44.0
Pytorch 2.0.1+cu118
Datasets 2.20.0
Tokenizers 0.19.1

Created: Aug 6, 2024
Updated: Aug 8, 2024