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---
license: other
base_model: apple/mobilevit-x-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: tebak-gambar-mobilevit
results: []
---
<!-- 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. -->
# tebak-gambar-mobilevit
This model is a fine-tuned version of [apple/mobilevit-x-small](https://huggingface.co/apple/mobilevit-x-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0799
- Accuracy: 0.7289
## 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: 0.0008
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:-----:|:---------------:|:--------:|
| 1.5084 | 0.2844 | 5000 | 1.4700 | 0.6364 |
| 1.3684 | 0.5689 | 10000 | 1.3353 | 0.6674 |
| 1.3568 | 0.8533 | 15000 | 1.2764 | 0.6804 |
| 1.226 | 1.1377 | 20000 | 1.2323 | 0.6924 |
| 1.2125 | 1.4222 | 25000 | 1.1850 | 0.7031 |
| 1.1912 | 1.7066 | 30000 | 1.1567 | 0.7092 |
| 1.1902 | 1.9910 | 35000 | 1.1297 | 0.7165 |
| 1.131 | 2.2754 | 40000 | 1.1106 | 0.7213 |
| 1.124 | 2.5599 | 45000 | 1.0916 | 0.7258 |
| 1.1245 | 2.8443 | 50000 | 1.0782 | 0.7300 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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