clasificador-de-pesos

Franman/clasificador-de-pesos

clasificador-de-pesos is a image classification model from Franman. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: beit
Access: Public
Created: Oct 31, 2023
Updated: Nov 1, 2023
SHA: 95cb9cad

Base models

microsoft/beit-base-patch16-224

Model card

From the Hugging Face model README

clasificador-de-pesos

This model is a fine-tuned version of microsoft/beit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0739
Accuracy: 0.9843

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: 0.0005
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0999	0.96	13	0.7987	0.6440
0.6342	2.0	27	0.2414	0.9424
0.4882	2.96	40	0.1646	0.9634
0.463	4.0	54	0.2528	0.9424
0.4609	4.96	67	0.1130	0.9791
0.4251	6.0	81	0.1304	0.9634
0.3802	6.96	94	0.0739	0.9843
0.4147	7.7	104	0.0675	0.9843

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1

Task: Image Classification
Library: transformers
Type: beit
License: apache-2.0
Created: Oct 31, 2023
Updated: Nov 1, 2023