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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: deit-small-distilled-patch16-224_alpha0.5_temp3.0
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. -->
# deit-small-distilled-patch16-224_alpha0.5_temp3.0
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: 0.6994
- Accuracy: 0.7352
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2256 | 1.0 | 90 | 1.4204 | 0.2708 |
| 1.0697 | 2.0 | 180 | 1.2418 | 0.4377 |
| 0.745 | 3.0 | 270 | 0.8560 | 0.6344 |
| 0.4822 | 4.0 | 360 | 0.7597 | 0.7055 |
| 0.296 | 5.0 | 450 | 0.7598 | 0.7036 |
| 0.2083 | 6.0 | 540 | 0.7894 | 0.6868 |
| 0.1911 | 7.0 | 630 | 0.7575 | 0.7134 |
| 0.1783 | 8.0 | 720 | 0.7299 | 0.7302 |
| 0.1743 | 9.0 | 810 | 0.7375 | 0.7184 |
| 0.1645 | 10.0 | 900 | 0.7215 | 0.7273 |
| 0.1548 | 11.0 | 990 | 0.7100 | 0.7411 |
| 0.1544 | 12.0 | 1080 | 0.7043 | 0.7352 |
| 0.1461 | 13.0 | 1170 | 0.7097 | 0.7352 |
| 0.1439 | 14.0 | 1260 | 0.7007 | 0.7431 |
| 0.1428 | 15.0 | 1350 | 0.7013 | 0.7401 |
| 0.1409 | 16.0 | 1440 | 0.7026 | 0.7401 |
| 0.1402 | 17.0 | 1530 | 0.7042 | 0.7431 |
| 0.1325 | 18.0 | 1620 | 0.6994 | 0.7352 |
| 0.1364 | 19.0 | 1710 | 0.7015 | 0.7460 |
| 0.1329 | 20.0 | 1800 | 0.7007 | 0.7460 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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