profesor_Swin3D_O_RWF2000

DanJoshua/profesor_Swin3D_O_RWF2000

profesor_Swin3D_O_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_O_RWF2000

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

Loss: 0.4342
Accuracy: 0.8988
F1: 0.8987
Precision: 0.8991
Recall: 0.8988
Roc Auc: 0.9591

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: 450
training_steps: 4500
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Roc Auc
0.2087	2.0324	450	0.4338	0.8553	0.8532	0.8764	0.8553	0.9511
0.1662	5.0311	900	0.3895	0.9053	0.9053	0.9053	0.9053	0.9684
0.0927	8.0298	1350	0.5082	0.8921	0.8921	0.8921	0.8921	0.9706
0.0577	11.0284	1800	0.6253	0.9026	0.9026	0.9029	0.9026	0.9674
0.0418	14.0271	2250	0.6788	0.8974	0.8974	0.8976	0.8974	0.9667

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