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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: swin-tiny-patch4-window7-224_alpha0.7_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. -->
# swin-tiny-patch4-window7-224_alpha0.7_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: 0.6260
- Accuracy: 0.7885
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1461 | 1.0 | 90 | 1.4228 | 0.2816 |
| 1.0312 | 2.0 | 180 | 1.2250 | 0.4318 |
| 0.7723 | 3.0 | 270 | 1.0165 | 0.5652 |
| 0.5804 | 4.0 | 360 | 0.7593 | 0.7085 |
| 0.4243 | 5.0 | 450 | 0.7048 | 0.7540 |
| 0.3253 | 6.0 | 540 | 0.6931 | 0.7609 |
| 0.2822 | 7.0 | 630 | 0.6610 | 0.7638 |
| 0.229 | 8.0 | 720 | 0.6538 | 0.7787 |
| 0.212 | 9.0 | 810 | 0.6767 | 0.7688 |
| 0.1972 | 10.0 | 900 | 0.6680 | 0.7569 |
| 0.174 | 11.0 | 990 | 0.6353 | 0.7757 |
| 0.1637 | 12.0 | 1080 | 0.6389 | 0.7757 |
| 0.1558 | 13.0 | 1170 | 0.6260 | 0.7885 |
| 0.153 | 14.0 | 1260 | 0.6343 | 0.7796 |
| 0.1514 | 15.0 | 1350 | 0.6342 | 0.7767 |
| 0.1419 | 16.0 | 1440 | 0.6450 | 0.7747 |
| 0.1411 | 17.0 | 1530 | 0.6400 | 0.7826 |
| 0.1303 | 18.0 | 1620 | 0.6328 | 0.7787 |
| 0.1316 | 19.0 | 1710 | 0.6287 | 0.7866 |
| 0.1303 | 20.0 | 1800 | 0.6265 | 0.7836 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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