beit-base-patch16-224-pt22k-ft22k-finetunedt – AI Model by anaghasavit | AlphaNeural AI

You can deploy this model and start earning money today!

anaghasavit/
beit-base-patch16-224-pt22k-ft22k-finetunedt

like

0

image-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

beit-base-patch16-224-pt22k-ft22k-finetunedt

This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k-ft22k on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.0147
Accuracy: 1.0

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: 5e-05
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4714	1.0	25	0.0147	1.0
0.0089	2.0	50	0.0008	1.0
0.0101	3.0	75	0.0003	1.0
0.0021	4.0	100	0.0002	1.0
0.0028	5.0	125	0.0001	1.0
0.0016	6.0	150	0.0001	1.0
0.0044	7.0	175	0.0001	1.0
0.0007	8.0	200	0.0001	1.0
0.0013	9.0	225	0.0001	1.0
0.0004	10.0	250	0.0001	1.0

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2