Downloads · 30 days
16
11% of all-time downloads
mobilevit-x-small_alpha0.5_temp3.0_t3
c14kevincardenas/mobilevit-x-small_alpha0.5_temp3.0_t3
mobilevit-x-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. --
All-time downloads
150
Public
Parameters
3M
238 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors11.9 MB · 100%
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
- 540c64e2
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-x-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: 0.8649
- Accuracy: 0.6833
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 |
|---|---|---|---|---|
| 0.8021 | 1.0 | 164 | 1.3864 | 0.2787 |
| 0.7632 | 2.0 | 328 | 1.3358 | 0.2983 |
| 0.684 | 3.0 | 492 | 1.1592 | 0.4718 |
| 0.6194 | 4.0 | 656 | 1.0484 | 0.5640 |
| 0.5802 | 5.0 | 820 | 0.9864 | 0.6247 |
| 0.5481 | 6.0 | 984 | 0.9503 | 0.6584 |
| 0.5327 | 7.0 | 1148 | 0.9417 | 0.6421 |
| 0.5193 | 8.0 | 1312 | 0.9287 | 0.6584 |
| 0.5071 | 9.0 | 1476 | 0.8931 | 0.6822 |
| 0.4696 | 10.0 | 1640 | 0.9343 | 0.6356 |
| 0.4724 | 11.0 | 1804 | 0.9316 | 0.6475 |
| 0.4661 | 12.0 | 1968 | 0.8823 | 0.6811 |
| 0.4464 | 13.0 | 2132 | 0.8741 | 0.6931 |
| 0.4466 | 14.0 | 2296 | 0.8901 | 0.6735 |
| 0.4406 | 15.0 | 2460 | 0.8990 | 0.6725 |
| 0.4395 | 16.0 | 2624 | 0.9002 | 0.6638 |
| 0.4411 | 17.0 | 2788 | 0.8779 | 0.6768 |
| 0.4257 | 18.0 | 2952 | 0.8649 | 0.6833 |
| 0.4325 | 19.0 | 3116 | 0.8692 | 0.6909 |
| 0.4237 | 20.0 | 3280 | 0.8844 | 0.6779 |
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