profesor_Swin3D_S_RWF2000

DanJoshua/profesor_Swin3D_S_RWF2000

profesor_Swin3D_S_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

13% of all-time downloads

All-time downloads

Public

Parameters

91.4M

3.4 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors381 MB · 100%

Parameter types

How the weights are stored.

F3287.7M · 96%

Model card

From the Hugging Face model README

profesor_Swin3D_S_RWF2000

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

Loss: 0.5293
Accuracy: 0.89
F1: 0.8900
Precision: 0.8902
Recall: 0.89
Roc Auc: 0.9532

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
0.2107	2.0333	480	0.3290	0.88	0.8795	0.8865	0.88	0.9568
0.1399	5.0333	960	0.4941	0.9	0.9000	0.9002	0.9	0.9642
0.1221	8.0333	1440	0.4824	0.8975	0.8974	0.8983	0.8975	0.9675
0.1474	11.0333	1920	0.5392	0.8975	0.8975	0.8975	0.8975	0.9665
0.105	14.0333	2400	0.7004	0.895	0.8948	0.8982	0.895	0.9686

Framework versions

Transformers 4.46.1
Pytorch 2.0.1+cu118
Datasets 3.1.0
Tokenizers 0.20.1

Library: transformers
Created: Oct 31, 2024
Updated: Nov 1, 2024