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-x-small_alpha0.7_temp3.0
results: []
mobilevit-x-small_alpha0.7_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: 0.8319
- Accuracy: 0.6650
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 |
|---|---|---|---|---|
| 1.1391 | 1.0 | 90 | 1.3902 | 0.2895 |
| 1.0994 | 2.0 | 180 | 1.3219 | 0.3765 |
| 0.9868 | 3.0 | 270 | 1.1753 | 0.4664 |
| 0.8583 | 4.0 | 360 | 1.0554 | 0.5277 |
| 0.752 | 5.0 | 450 | 0.9602 | 0.5840 |
| 0.7175 | 6.0 | 540 | 0.9255 | 0.5761 |
| 0.6641 | 7.0 | 630 | 0.8845 | 0.6324 |
| 0.6509 | 8.0 | 720 | 0.9110 | 0.6028 |
| 0.6031 | 9.0 | 810 | 0.8721 | 0.6374 |
| 0.6017 | 10.0 | 900 | 0.8564 | 0.6522 |
| 0.5642 | 11.0 | 990 | 0.8444 | 0.6482 |
| 0.5584 | 12.0 | 1080 | 0.8647 | 0.6364 |
| 0.5325 | 13.0 | 1170 | 0.8772 | 0.6294 |
| 0.5035 | 14.0 | 1260 | 0.8566 | 0.6354 |
| 0.5084 | 15.0 | 1350 | 0.8670 | 0.6383 |
| 0.4972 | 16.0 | 1440 | 0.8465 | 0.6551 |
| 0.4891 | 17.0 | 1530 | 0.8490 | 0.6443 |
| 0.4841 | 18.0 | 1620 | 0.8504 | 0.6551 |
| 0.4713 | 19.0 | 1710 | 0.8319 | 0.6650 |
| 0.4845 | 20.0 | 1800 | 0.8481 | 0.6542 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1