profesor_MViT_B_RLVS

DanJoshua/profesor_MViT_B_RLVS

profesor_MViT_B_RLVS 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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At a glance

Library: transformers
Access: Public
Created: Oct 30, 2024
Updated: Oct 30, 2024
SHA: e88b363c

Model card

From the Hugging Face model README

profesor_MViT_B_RLVS

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

Loss: 0.0380
Accuracy: 0.9908
F1: 0.9908
Precision: 0.9908
Recall: 0.9908
Roc Auc: 0.9992

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: 20
eval_batch_size: 20
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 240
training_steps: 2400
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Roc Auc
0.427	2.0333	240	0.2509	0.9661	0.9660	0.9671	0.9661	0.9961
0.1551	5.0333	480	0.1313	0.9687	0.9687	0.9695	0.9687	0.9974
0.0783	8.0333	720	0.1090	0.9713	0.9713	0.9719	0.9713	0.9974
0.0547	11.0333	960	0.0647	0.9843	0.9843	0.9843	0.9843	0.9974
0.0379	14.0333	1200	0.0472	0.9896	0.9896	0.9896	0.9896	0.9987
0.0337	17.0333	1440	0.0552	0.9869	0.9869	0.9870	0.9869	0.9986
0.0299	20.0333	1680	0.0786	0.9843	0.9843	0.9844	0.9843	0.9992
0.0308	23.0333	1920	0.0753	0.9817	0.9817	0.9818	0.9817	0.9995

Framework versions

Transformers 4.46.1
Pytorch 2.0.1+cu118
Datasets 3.0.2
Tokenizers 0.20.1

Library: transformers
Created: Oct 30, 2024
Updated: Oct 30, 2024