profesor_Swin3D_B_RWF2000

DanJoshua/profesor_Swin3D_B_RWF2000

profesor_Swin3D_B_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. --

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Model card

From the Hugging Face model README

profesor_Swin3D_B_RWF2000

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

Loss: 0.6709
Accuracy: 0.89
F1: 0.8900
Precision: 0.8904
Recall: 0.89
Roc Auc: 0.9586

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
0.2214	2.0333	480	0.2990	0.8875	0.8872	0.8918	0.8875	0.9601
0.1739	5.0333	960	0.4723	0.895	0.8947	0.8990	0.895	0.9608
0.1093	8.0333	1440	0.5475	0.8925	0.8925	0.8927	0.8925	0.9619
0.0735	11.0333	1920	0.5279	0.8925	0.8925	0.8927	0.8925	0.9674
0.0436	14.0333	2400	0.6160	0.8975	0.8975	0.8977	0.8975	0.9680
0.0766	17.0333	2880	0.6692	0.8975	0.8975	0.8977	0.8975	0.9664
0.0433	20.0333	3360	0.7716	0.885	0.8849	0.8869	0.885	0.9695
0.0653	23.0333	3840	0.9919	0.8675	0.8671	0.8724	0.8675	0.9580

Framework versions

Transformers 4.46.1
Pytorch 2.0.1+cu118
Datasets 3.1.0
Tokenizers 0.20.1

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