metadata
library_name: transformers
license: other
base_model: apple/mobilevit-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: results
results: []
results
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: 0.9863
- Accuracy: 0.7512
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.4609 | 0.2844 | 5000 | 1.3989 | 0.6532 |
| 1.3211 | 0.5689 | 10000 | 1.2739 | 0.6803 |
| 1.2531 | 0.8533 | 15000 | 1.2132 | 0.6942 |
| 1.1875 | 1.1377 | 20000 | 1.1762 | 0.7041 |
| 1.157 | 1.4222 | 25000 | 1.1460 | 0.7111 |
| 1.144 | 1.7066 | 30000 | 1.1184 | 0.7163 |
| 1.1217 | 1.9910 | 35000 | 1.0880 | 0.7247 |
| 1.0831 | 2.2754 | 40000 | 1.0729 | 0.7280 |
| 1.0761 | 2.5599 | 45000 | 1.0593 | 0.7312 |
| 1.0565 | 2.8443 | 50000 | 1.0480 | 0.7346 |
| 1.0149 | 3.1287 | 55000 | 1.0356 | 0.7380 |
| 1.0102 | 3.4132 | 60000 | 1.0263 | 0.7401 |
| 1.0014 | 3.6976 | 65000 | 1.0122 | 0.7437 |
| 0.9972 | 3.9820 | 70000 | 1.0028 | 0.7459 |
| 0.9556 | 4.2665 | 75000 | 0.9971 | 0.7474 |
| 0.9606 | 4.5509 | 80000 | 0.9904 | 0.7496 |
| 0.9544 | 4.8353 | 85000 | 0.9842 | 0.7507 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1