vit_flyswot_test – AI Model by davanstrien | AlphaNeural AI

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davanstrien/
vit_flyswot_test

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image-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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vit_flyswot_test

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

Loss: 0.4777
F1: 0.8492

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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 666
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	52	1.2007	0.3533
No log	2.0	104	1.0037	0.5525
No log	3.0	156	0.8301	0.6318
No log	4.0	208	0.7224	0.6946
No log	5.0	260	0.7298	0.7145
No log	6.0	312	0.6328	0.7729
No log	7.0	364	0.6010	0.7992
No log	8.0	416	0.5174	0.8364
No log	9.0	468	0.5084	0.8479
0.6372	10.0	520	0.4777	0.8492

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.0+cu111
Datasets 1.18.3
Tokenizers 0.11.6