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imagenet1k
tigeryi/imagenet1k
imagenet1k is a image classification model from tigeryi. 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
- data2vec-vision
- Access
- Public
- Created
- Apr 29, 2024
- Updated
- May 3, 2024
- SHA
- ed7e6264
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. -->
imagenet1k
This model is a fine-tuned version of tigeryi/imagenet1k on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.0022
- eval_accuracy: 0.7605
- eval_runtime: 1004.8381
- eval_samples_per_second: 49.759
- eval_steps_per_second: 1.555
- step: 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: 1
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Image Classification
- Library
- transformers
- Type
- data2vec-vision
- License
- apache-2.0
- Created
- Apr 29, 2024
- Updated
- May 3, 2024