profesor_Swin3D_N_RLVS

DanJoshua/profesor_Swin3D_N_RLVS

profesor_Swin3D_N_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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Model card

From the Hugging Face model README

profesor_Swin3D_N_RLVS

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

Loss: 0.0519
Accuracy: 0.9882
F1: 0.9882
Precision: 0.9882
Recall: 0.9882
Roc Auc: 0.9987

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: 10
eval_batch_size: 10
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: 480
training_steps: 4800
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Roc Auc
0.0958	2.0333	480	0.1160	0.9791	0.9791	0.9793	0.9791	0.9976
0.0596	5.0333	960	0.0682	0.9869	0.9869	0.9870	0.9869	0.9988
0.0362	8.0333	1440	0.0955	0.9817	0.9817	0.9820	0.9817	0.9978
0.0124	11.0333	1920	0.0489	0.9896	0.9896	0.9896	0.9896	0.9984
0.0057	14.0333	2400	0.0537	0.9896	0.9896	0.9896	0.9896	0.9986
0.0217	17.0333	2880	0.1465	0.9765	0.9765	0.9771	0.9765	0.9997
0.0065	20.0333	3360	0.0772	0.9896	0.9896	0.9898	0.9896	0.9988

Framework versions

Transformers 4.46.1
Pytorch 2.0.1+cu118
Datasets 3.0.2
Tokenizers 0.20.1

Library: transformers
Created: Oct 31, 2024
Updated: Oct 31, 2024