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---
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_alpha0.5_temp5.0
results: []
---
<!-- 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_temp5.0
This model is a fine-tuned version of [c14kevincardenas/ClimBEiTv2](https://huggingface.co/c14kevincardenas/ClimBEiTv2) on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb_2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8056
- Accuracy: 0.6670
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1992 | 1.0 | 90 | 1.3813 | 0.3053 |
| 1.1608 | 2.0 | 180 | 1.3167 | 0.3775 |
| 1.0525 | 3.0 | 270 | 1.1716 | 0.4704 |
| 0.9202 | 4.0 | 360 | 1.0438 | 0.5296 |
| 0.8105 | 5.0 | 450 | 0.9463 | 0.5860 |
| 0.7675 | 6.0 | 540 | 0.9055 | 0.5949 |
| 0.7178 | 7.0 | 630 | 0.8651 | 0.6294 |
| 0.6966 | 8.0 | 720 | 0.8816 | 0.6206 |
| 0.6529 | 9.0 | 810 | 0.8390 | 0.6403 |
| 0.6468 | 10.0 | 900 | 0.8408 | 0.6393 |
| 0.6115 | 11.0 | 990 | 0.8196 | 0.6561 |
| 0.6059 | 12.0 | 1080 | 0.8353 | 0.6551 |
| 0.5808 | 13.0 | 1170 | 0.8468 | 0.6374 |
| 0.5506 | 14.0 | 1260 | 0.8270 | 0.6453 |
| 0.5535 | 15.0 | 1350 | 0.8425 | 0.6403 |
| 0.5444 | 16.0 | 1440 | 0.8188 | 0.6542 |
| 0.5409 | 17.0 | 1530 | 0.8202 | 0.6502 |
| 0.5296 | 18.0 | 1620 | 0.8193 | 0.6591 |
| 0.5153 | 19.0 | 1710 | 0.8056 | 0.6670 |
| 0.5239 | 20.0 | 1800 | 0.8194 | 0.6591 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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