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mobilevit-x-small-finetuned-lora-food101
Saeid/mobilevit-x-small-finetuned-lora-food101
mobilevit-x-small-finetuned-lora-food101 is a machine learning model from Saeid. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Jul 8, 2024
- Updated
- Jul 16, 2024
- SHA
- 59a9eac8
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. -->
<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/> <img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>
mobilevit-x-small-finetuned-lora-food101
This model is a fine-tuned version of apple/mobilevit-x-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7816
- Accuracy: 0.786
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: 0.005
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 9 | 3.5011 | 0.664 |
| 4.1269 | 2.0 | 18 | 2.0028 | 0.622 |
| 2.5648 | 3.0 | 27 | 1.0927 | 0.744 |
| 1.411 | 4.0 | 36 | 0.8316 | 0.788 |
| 0.9802 | 5.0 | 45 | 0.7816 | 0.786 |
Framework versions
- PEFT 0.11.2.dev0
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- other
- Created
- Jul 8, 2024
- Updated
- Jul 16, 2024