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mobilevit-small_alpha0.5_temp3.0_t3
c14kevincardenas/mobilevit-small_alpha0.5_temp3.0_t3
mobilevit-small_alpha0.5_temp3.0_t3 is a image classification model from c14kevincardenas. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- mobilevit
- Access
- Public
- Created
- Feb 26, 2025
- Updated
- Mar 18, 2025
- SHA
- a20f03b7
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. -->
mobilevit-small_alpha0.5_temp3.0_t3
This model is a fine-tuned version of c14kevincardenas/ClimBEiT-t3 on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb dataset. It achieves the following results on the evaluation set:
- Loss: 0.8562
- Accuracy: 0.7072
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 |
|---|---|---|---|---|
| 0.8034 | 1.0 | 164 | 1.3824 | 0.2863 |
| 0.7605 | 2.0 | 328 | 1.3374 | 0.2918 |
| 0.6903 | 3.0 | 492 | 1.1406 | 0.5152 |
| 0.6045 | 4.0 | 656 | 1.0571 | 0.5629 |
| 0.5779 | 5.0 | 820 | 1.0227 | 0.5813 |
| 0.5423 | 6.0 | 984 | 0.9594 | 0.6334 |
| 0.5154 | 7.0 | 1148 | 0.9498 | 0.6518 |
| 0.4984 | 8.0 | 1312 | 0.9111 | 0.6757 |
| 0.47 | 9.0 | 1476 | 0.9155 | 0.6518 |
| 0.4474 | 10.0 | 1640 | 0.9253 | 0.6518 |
| 0.4547 | 11.0 | 1804 | 0.9355 | 0.6562 |
| 0.4432 | 12.0 | 1968 | 0.8718 | 0.6649 |
| 0.4235 | 13.0 | 2132 | 0.8763 | 0.7039 |
| 0.419 | 14.0 | 2296 | 0.8878 | 0.6866 |
| 0.4083 | 15.0 | 2460 | 0.8869 | 0.6898 |
| 0.4043 | 16.0 | 2624 | 0.8697 | 0.6985 |
| 0.4061 | 17.0 | 2788 | 0.8562 | 0.7072 |
| 0.389 | 18.0 | 2952 | 0.8595 | 0.7082 |
| 0.3982 | 19.0 | 3116 | 0.8661 | 0.6985 |
| 0.3823 | 20.0 | 3280 | 0.8689 | 0.7115 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
- Task
- Image Classification
- Library
- transformers
- Type
- mobilevit
- License
- apache-2.0
- Created
- Feb 26, 2025
- Updated
- Mar 18, 2025