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SJChaudhuri/
beit-base-patch16-224-pt22k-finetuned-IDRiD

Name: beit-base-patch16-224-pt22k-finetuned-IDRiD
Availability: InStock

generated_from_trainer

apache-2.0

autotrain_compatible

endpoints_compatible

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beit-base-patch16-224-pt22k-finetuned-IDRiD

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

Loss: 1.1881
Accuracy: 0.5714

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
No log	1.0	3	1.5369	0.4762
No log	2.0	6	1.4999	0.3333
No log	3.0	9	1.3085	0.4524
1.6051	4.0	12	1.3072	0.4524
1.6051	5.0	15	1.2578	0.5238
1.6051	6.0	18	1.2376	0.5476
1.3665	7.0	21	1.2073	0.5714
1.3665	8.0	24	1.1972	0.5714
1.3665	9.0	27	1.1942	0.5714
1.3024	10.0	30	1.1881	0.5714

Framework versions

Transformers 4.30.0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.13.3

SJChaudhuri/beit-base-patch16-224-pt22k-finetuned-IDRiD

beit-base-patch16-224-pt22k-finetuned-IDRiD

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

SJChaudhuri/
beit-base-patch16-224-pt22k-finetuned-IDRiD