---
library_name: transformers
license: apache-2.0
base_model: c14kevincardenas/ClimBEiTv2
tags:
- knowledge_distillation
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deit-tiny-distilled-patch16-224_alpha0.7_temp3.0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# deit-tiny-distilled-patch16-224_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: 0.8283
- Accuracy: 0.6808

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1465        | 1.0   | 90   | 1.4257          | 0.2856   |
| 1.0136        | 2.0   | 180  | 1.2902          | 0.4061   |
| 0.8581        | 3.0   | 270  | 1.1425          | 0.5099   |
| 0.6313        | 4.0   | 360  | 0.9627          | 0.6008   |
| 0.4469        | 5.0   | 450  | 0.8729          | 0.6265   |
| 0.307         | 6.0   | 540  | 0.9136          | 0.6275   |
| 0.2482        | 7.0   | 630  | 0.8533          | 0.6502   |
| 0.1911        | 8.0   | 720  | 0.8625          | 0.6561   |
| 0.1729        | 9.0   | 810  | 0.8415          | 0.6759   |
| 0.1548        | 10.0  | 900  | 0.8361          | 0.6700   |
| 0.1445        | 11.0  | 990  | 0.8495          | 0.6769   |
| 0.1438        | 12.0  | 1080 | 0.8442          | 0.6680   |
| 0.1294        | 13.0  | 1170 | 0.8405          | 0.6739   |
| 0.1279        | 14.0  | 1260 | 0.8366          | 0.6779   |
| 0.1238        | 15.0  | 1350 | 0.8354          | 0.6739   |
| 0.1207        | 16.0  | 1440 | 0.8447          | 0.6630   |
| 0.1185        | 17.0  | 1530 | 0.8283          | 0.6808   |
| 0.1118        | 18.0  | 1620 | 0.8335          | 0.6670   |
| 0.1116        | 19.0  | 1710 | 0.8291          | 0.6729   |
| 0.1074        | 20.0  | 1800 | 0.8299          | 0.6719   |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1