metadata
library_name: transformers
license: other
base_model: apple/mobilevit-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mobilevit-small_alpha0.7_temp5.0
results: []
mobilevit-small_alpha0.7_temp5.0
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: 0.8711
- Accuracy: 0.6403
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1311 | 1.0 | 90 | 1.4279 | 0.2470 |
| 1.0789 | 2.0 | 180 | 1.3331 | 0.3192 |
| 0.9867 | 3.0 | 270 | 1.2525 | 0.3864 |
| 0.8433 | 4.0 | 360 | 1.0671 | 0.4970 |
| 0.7496 | 5.0 | 450 | 0.9999 | 0.5603 |
| 0.6948 | 6.0 | 540 | 0.9374 | 0.5988 |
| 0.6495 | 7.0 | 630 | 0.9065 | 0.6146 |
| 0.6101 | 8.0 | 720 | 0.9331 | 0.6008 |
| 0.5591 | 9.0 | 810 | 0.8673 | 0.6571 |
| 0.5406 | 10.0 | 900 | 0.8705 | 0.6235 |
| 0.5188 | 11.0 | 990 | 0.8579 | 0.6630 |
| 0.4875 | 12.0 | 1080 | 0.8809 | 0.6324 |
| 0.4596 | 13.0 | 1170 | 0.8904 | 0.6324 |
| 0.4418 | 14.0 | 1260 | 0.8596 | 0.6542 |
| 0.4385 | 15.0 | 1350 | 0.8769 | 0.6304 |
| 0.4175 | 16.0 | 1440 | 0.8625 | 0.6561 |
| 0.413 | 17.0 | 1530 | 0.8578 | 0.6571 |
| 0.3973 | 18.0 | 1620 | 0.8573 | 0.6581 |
| 0.3964 | 19.0 | 1710 | 0.8550 | 0.6680 |
| 0.4004 | 20.0 | 1800 | 0.8711 | 0.6403 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1