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vit_cats-vs-dogs
Manu8/vit_cats-vs-dogs
vit_cats-vs-dogs is a image classification model from Manu8. Use it when you need a label for an image. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- Model type
- customManuel
- Access
- Public
- Created
- Jan 6, 2024
- Updated
- Jan 11, 2024
- SHA
- 27bba619
Base models
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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. -->
vit_cats-vs-dogs
This model is a fine-tuned version of Manu8/vit_cifar on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.4201
- eval_accuracy: 0.819
- eval_runtime: 12.7705
- eval_samples_per_second: 391.527
- eval_steps_per_second: 1.566
- epoch: 1.0
- step: 2500
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 50
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
- Task
- Image Classification
- Library
- transformers
- Type
- customManuel
- Created
- Jan 6, 2024
- Updated
- Jan 11, 2024