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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: beit-base-patch16-384_alpha0.7_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. -->
# beit-base-patch16-384_alpha0.7_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: 0.5012
- Accuracy: 0.8399
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.098 | 1.0 | 90 | 1.3922 | 0.3063 |
| 0.8736 | 2.0 | 180 | 0.9673 | 0.6136 |
| 0.5416 | 3.0 | 270 | 0.6812 | 0.7599 |
| 0.3877 | 4.0 | 360 | 0.5916 | 0.7984 |
| 0.2839 | 5.0 | 450 | 0.5838 | 0.8063 |
| 0.2368 | 6.0 | 540 | 0.5499 | 0.8182 |
| 0.2149 | 7.0 | 630 | 0.6019 | 0.7984 |
| 0.1883 | 8.0 | 720 | 0.5797 | 0.8053 |
| 0.1724 | 9.0 | 810 | 0.5546 | 0.8251 |
| 0.1587 | 10.0 | 900 | 0.5658 | 0.8231 |
| 0.1592 | 11.0 | 990 | 0.5165 | 0.8231 |
| 0.1455 | 12.0 | 1080 | 0.5143 | 0.8300 |
| 0.1438 | 13.0 | 1170 | 0.5300 | 0.8330 |
| 0.1303 | 14.0 | 1260 | 0.5376 | 0.8271 |
| 0.1306 | 15.0 | 1350 | 0.5235 | 0.8281 |
| 0.1274 | 16.0 | 1440 | 0.5012 | 0.8399 |
| 0.121 | 17.0 | 1530 | 0.5207 | 0.8370 |
| 0.1197 | 18.0 | 1620 | 0.5180 | 0.8370 |
| 0.1189 | 19.0 | 1710 | 0.5124 | 0.8409 |
| 0.1157 | 20.0 | 1800 | 0.5116 | 0.8419 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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