metadata
library_name: transformers
license: apache-2.0
base_model: c14kevincardenas/ClimBEiTv2
tags:
- knowledge_distillation
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mobilevit-small_alpha0.5_temp3.0
results: []
mobilevit-small_alpha0.5_temp3.0
This model is a fine-tuned version of c14kevincardenas/ClimBEiTv2 on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb_2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.8337
- Accuracy: 0.6789
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 |
|---|---|---|---|---|
| 1.2251 | 1.0 | 90 | 1.4083 | 0.2441 |
| 1.1754 | 2.0 | 180 | 1.3374 | 0.3063 |
| 1.086 | 3.0 | 270 | 1.2295 | 0.3844 |
| 0.9164 | 4.0 | 360 | 1.0471 | 0.5208 |
| 0.8124 | 5.0 | 450 | 0.9794 | 0.5692 |
| 0.757 | 6.0 | 540 | 0.9078 | 0.6136 |
| 0.7021 | 7.0 | 630 | 0.8754 | 0.6423 |
| 0.6535 | 8.0 | 720 | 0.8976 | 0.6206 |
| 0.5973 | 9.0 | 810 | 0.8455 | 0.6719 |
| 0.5778 | 10.0 | 900 | 0.8477 | 0.6532 |
| 0.5556 | 11.0 | 990 | 0.8395 | 0.6660 |
| 0.5226 | 12.0 | 1080 | 0.8487 | 0.6542 |
| 0.4926 | 13.0 | 1170 | 0.8610 | 0.6482 |
| 0.4766 | 14.0 | 1260 | 0.8337 | 0.6789 |
| 0.4763 | 15.0 | 1350 | 0.8482 | 0.6650 |
| 0.45 | 16.0 | 1440 | 0.8374 | 0.6700 |
| 0.4468 | 17.0 | 1530 | 0.8378 | 0.6759 |
| 0.4267 | 18.0 | 1620 | 0.8382 | 0.6729 |
| 0.4321 | 19.0 | 1710 | 0.8399 | 0.6719 |
| 0.4318 | 20.0 | 1800 | 0.8438 | 0.6729 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1