metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mobilevit-small_alpha0.7_temp3.0_t3
results: []
mobilevit-small_alpha0.7_temp3.0_t3
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9599
- Accuracy: 0.6551
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|
| 0.5602 | 1.0 | 164 | 1.4016 | 0.2636 |
| 0.5293 | 2.0 | 328 | 1.3396 | 0.3178 |
| 0.4722 | 3.0 | 492 | 1.1894 | 0.4740 |
| 0.4285 | 4.0 | 656 | 1.1300 | 0.5336 |
| 0.4026 | 5.0 | 820 | 1.0758 | 0.5824 |
| 0.3918 | 6.0 | 984 | 1.0470 | 0.5900 |
| 0.3733 | 7.0 | 1148 | 1.0198 | 0.6095 |
| 0.3622 | 8.0 | 1312 | 0.9975 | 0.6356 |
| 0.3504 | 9.0 | 1476 | 0.9980 | 0.6052 |
| 0.3345 | 10.0 | 1640 | 1.0102 | 0.6171 |
| 0.3362 | 11.0 | 1804 | 1.0125 | 0.6009 |
| 0.3281 | 12.0 | 1968 | 0.9796 | 0.6302 |
| 0.3146 | 13.0 | 2132 | 0.9592 | 0.6616 |
| 0.3172 | 14.0 | 2296 | 0.9733 | 0.6475 |
| 0.3091 | 15.0 | 2460 | 0.9679 | 0.6540 |
| 0.3071 | 16.0 | 2624 | 0.9691 | 0.6508 |
| 0.3073 | 17.0 | 2788 | 0.9566 | 0.6616 |
| 0.2953 | 18.0 | 2952 | 0.9579 | 0.6486 |
| 0.3014 | 19.0 | 3116 | 0.9578 | 0.6605 |
| 0.2909 | 20.0 | 3280 | 0.9599 | 0.6551 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1