profesor_Swin3D_O_VIOPERU

DanJoshua/profesor_Swin3D_O_VIOPERU

profesor_Swin3D_O_VIOPERU 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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Hugging Face

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Model card

From the Hugging Face model README

profesor_Swin3D_O_VIOPERU

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

Loss: 0.3875
Accuracy: 0.8482
F1: 0.8479
Precision: 0.8510
Recall: 0.8482
Roc Auc: 0.8997

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: 8
eval_batch_size: 8
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: 54
training_steps: 540
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Roc Auc
0.6151	1.0481	54	0.6360	0.7222	0.7208	0.7320	0.7222	0.8173
0.483	3.0444	108	0.5192	0.8148	0.8148	0.8148	0.8148	0.8764
0.3825	5.0407	162	0.4128	0.8889	0.8886	0.8907	0.8889	0.8846
0.1703	7.0370	216	0.4211	0.8704	0.8702	0.8707	0.8704	0.9038
0.1356	9.0333	270	0.5236	0.8519	0.8514	0.8534	0.8519	0.8791
0.1848	11.0296	324	0.5089	0.8704	0.8702	0.8707	0.8704	0.8764

Framework versions

Transformers 4.46.3
Pytorch 2.0.1+cu118
Datasets 3.1.0
Tokenizers 0.20.3

Library: transformers
Created: Nov 2, 2024
Updated: Nov 28, 2024