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_temp5.0
results: []
mobilevit-small_alpha0.5_temp5.0
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: 0.8370
- Accuracy: 0.6769
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 |
|---|---|---|---|---|
| 1.2117 | 1.0 | 90 | 1.4099 | 0.2451 |
| 1.1611 | 2.0 | 180 | 1.3374 | 0.2945 |
| 1.0726 | 3.0 | 270 | 1.2361 | 0.3794 |
| 0.9066 | 4.0 | 360 | 1.0439 | 0.5168 |
| 0.8097 | 5.0 | 450 | 0.9753 | 0.5800 |
| 0.7541 | 6.0 | 540 | 0.9093 | 0.6146 |
| 0.7054 | 7.0 | 630 | 0.8776 | 0.6344 |
| 0.6567 | 8.0 | 720 | 0.9050 | 0.6136 |
| 0.6028 | 9.0 | 810 | 0.8489 | 0.6670 |
| 0.585 | 10.0 | 900 | 0.8526 | 0.6453 |
| 0.5614 | 11.0 | 990 | 0.8427 | 0.6690 |
| 0.5282 | 12.0 | 1080 | 0.8506 | 0.6611 |
| 0.4993 | 13.0 | 1170 | 0.8682 | 0.6492 |
| 0.4814 | 14.0 | 1260 | 0.8370 | 0.6769 |
| 0.4798 | 15.0 | 1350 | 0.8531 | 0.6640 |
| 0.4554 | 16.0 | 1440 | 0.8401 | 0.6709 |
| 0.4514 | 17.0 | 1530 | 0.8405 | 0.6690 |
| 0.4313 | 18.0 | 1620 | 0.8409 | 0.6729 |
| 0.4352 | 19.0 | 1710 | 0.8418 | 0.6749 |
| 0.4362 | 20.0 | 1800 | 0.8477 | 0.6709 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1