clasificador-de-pesos – AI Model by Franman | AlphaNeural AI

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Franman/
clasificador-de-pesos

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image-classification

generated_from_trainer

microsoft/beit-base-patch16-224

autotrain_compatible

endpoints_compatible

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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