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---
library_name: transformers
license: apache-2.0
base_model: c14kevincardenas/ClimBEiT-t3
tags:
- knowledge_distillation
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: swin-tiny-patch4-window7-224_alpha0.7_temp3.0_t3
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_t3
This model is a fine-tuned version of [c14kevincardenas/ClimBEiT-t3](https://huggingface.co/c14kevincardenas/ClimBEiT-t3) on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7700
- Accuracy: 0.7961
## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5659 | 1.0 | 164 | 1.4280 | 0.2636 |
| 0.5111 | 2.0 | 328 | 1.3040 | 0.3720 |
| 0.4093 | 3.0 | 492 | 0.9968 | 0.6356 |
| 0.3598 | 4.0 | 656 | 0.9535 | 0.6443 |
| 0.3284 | 5.0 | 820 | 0.8426 | 0.7256 |
| 0.2933 | 6.0 | 984 | 0.8269 | 0.7657 |
| 0.2734 | 7.0 | 1148 | 0.8815 | 0.6952 |
| 0.2679 | 8.0 | 1312 | 0.8079 | 0.7679 |
| 0.2574 | 9.0 | 1476 | 0.7823 | 0.7863 |
| 0.2403 | 10.0 | 1640 | 0.7833 | 0.7907 |
| 0.2376 | 11.0 | 1804 | 0.7851 | 0.7852 |
| 0.2399 | 12.0 | 1968 | 0.7966 | 0.7939 |
| 0.231 | 13.0 | 2132 | 0.7956 | 0.7766 |
| 0.2351 | 14.0 | 2296 | 0.7793 | 0.7918 |
| 0.2344 | 15.0 | 2460 | 0.7700 | 0.7961 |
| 0.232 | 16.0 | 2624 | 0.7845 | 0.7907 |
| 0.2318 | 17.0 | 2788 | 0.7930 | 0.7918 |
| 0.2241 | 18.0 | 2952 | 0.7814 | 0.7885 |
| 0.2291 | 19.0 | 3116 | 0.7901 | 0.7820 |
| 0.2227 | 20.0 | 3280 | 0.7854 | 0.7885 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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