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beit-base-patch16-224-pt22k-ft22k-finetuned-footulcer
Nitish2801/beit-base-patch16-224-pt22k-ft22k-finetuned-footulcer
beit-base-patch16-224-pt22k-ft22k-finetuned-footulcer is a image classification model from Nitish2801. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- beit
- Access
- Public
- Created
- Apr 30, 2024
- Updated
- Apr 30, 2024
- SHA
- 4870f66f
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
beit-base-patch16-224-pt22k-ft22k-finetuned-footulcer
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:
- eval_loss: 0.0315
- eval_accuracy: 1.0
- eval_runtime: 1.183
- eval_samples_per_second: 98.056
- eval_steps_per_second: 3.381
- epoch: 0.97
- step: 8
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
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Image Classification
- Library
- transformers
- Type
- beit
- License
- apache-2.0
- Created
- Apr 30, 2024
- Updated
- Apr 30, 2024