profesor_MViT_S_RLVS

DanJoshua/profesor_MViT_S_RLVS

profesor_MViT_S_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: 4ebe97b0

Model card

From the Hugging Face model README

profesor_MViT_S_RLVS

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

Loss: 0.0191
Accuracy: 0.9947
F1: 0.9947
Precision: 0.9947
Recall: 0.9947
Roc Auc: 0.9999

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
0.4099	2.0333	240	0.2282	0.9634	0.9634	0.9639	0.9634	0.9974
0.1424	5.0333	480	0.1349	0.9661	0.9660	0.9676	0.9661	0.9955
0.0659	8.0333	720	0.0890	0.9765	0.9765	0.9768	0.9765	0.9989
0.0582	11.0333	960	0.1153	0.9687	0.9687	0.9700	0.9687	0.9987
0.0319	14.0333	1200	0.0400	0.9896	0.9896	0.9896	0.9896	0.9994
0.0346	17.0333	1440	0.0408	0.9896	0.9896	0.9896	0.9896	0.9993
0.0145	20.0333	1680	0.0314	0.9922	0.9922	0.9922	0.9922	0.9997
0.0302	23.0333	1920	0.0395	0.9896	0.9896	0.9896	0.9896	0.9996
0.0244	26.0333	2160	0.0423	0.9896	0.9896	0.9896	0.9896	0.9998
0.0285	29.0333	2400	0.2273	0.9608	0.9608	0.9637	0.9608	0.9993

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