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apple-model-finetuned
aliciiavs/apple-model-finetuned
apple-model-finetuned is a image classification model from aliciiavs. Use it when you need a label for an image. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- other
- Model type
- mobilevit
- Access
- Public
- Created
- Apr 8, 2024
- Updated
- Apr 8, 2024
- SHA
- 97aa5ecc
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. -->
apple-model-finetuned
This model is a fine-tuned version of apple/mobilevit-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6138
- Accuracy: 0.21
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: 1e-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 320
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.88 | 5 | 1.6144 | 0.195 |
| 1.6109 | 1.93 | 11 | 1.6119 | 0.23 |
| 1.6109 | 2.98 | 17 | 1.6144 | 0.19 |
| 1.6117 | 3.51 | 20 | 1.6138 | 0.21 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Image Classification
- Library
- transformers
- Type
- mobilevit
- License
- other
- Created
- Apr 8, 2024
- Updated
- Apr 8, 2024