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classification_vit_playaround
Elvijs/classification_vit_playaround
classification_vit_playaround is a machine learning model from Elvijs. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Sep 11, 2024
- Updated
- Sep 12, 2024
- SHA
- 96e77cae
Base models
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. -->
classification_vit_playaround
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6380
- Accuracy: 0.89
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.7533 | 0.992 | 62 | 2.5753 | 0.83 |
| 1.8529 | 2.0 | 125 | 1.8001 | 0.865 |
| 1.5759 | 2.976 | 186 | 1.6380 | 0.89 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.0
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- vit
- License
- apache-2.0
- Created
- Sep 11, 2024
- Updated
- Sep 12, 2024