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huytrinh1/
human-classifier-v1

Name: human-classifier-v1
Availability: InStock

generated_from_trainer

imagefolder

google/vit-base-patch16-224-in21k

finetune

apache-2.0

endpoints_compatible

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human-classifier-v1

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.0072

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: 0.0002
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.0035	0.2347	100	0.0080
0.0016	0.4695	200	0.0069
0.0010	0.7042	300	0.0066
0.0007	0.9390	400	0.0067
0.0005	1.1737	500	0.0068
0.0004	1.4085	600	0.0069
0.0003	1.6432	700	0.0069
0.0003	1.8779	800	0.0070
0.0003	2.1127	900	0.0071
0.0002	2.3474	1000	0.0071
0.0002	2.5822	1100	0.0072
0.0002	2.8169	1200	0.0072

Framework versions

Transformers 5.0.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2

huytrinh1/human-classifier-v1

human-classifier-v1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

huytrinh1/
human-classifier-v1