---
library_name: transformers
license: apache-2.0
base_model: c14kevincardenas/ClimBEiT-t3
tags:
- knowledge_distillation
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: beit-base-patch16-384_alpha0.7_temp5.0_t3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# beit-base-patch16-384_alpha0.7_temp5.0_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: 0.7095
- Accuracy: 0.8275

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5656        | 1.0   | 164  | 1.4241          | 0.2614   |
| 0.5188        | 2.0   | 328  | 1.2839          | 0.4295   |
| 0.3829        | 3.0   | 492  | 0.8952          | 0.7245   |
| 0.3272        | 4.0   | 656  | 0.8815          | 0.7104   |
| 0.2941        | 5.0   | 820  | 0.7334          | 0.8004   |
| 0.2671        | 6.0   | 984  | 0.7653          | 0.7885   |
| 0.2569        | 7.0   | 1148 | 0.7095          | 0.8275   |
| 0.2483        | 8.0   | 1312 | 0.7406          | 0.8232   |
| 0.2464        | 9.0   | 1476 | 0.7520          | 0.8178   |
| 0.2312        | 10.0  | 1640 | 0.7327          | 0.8395   |
| 0.229         | 11.0  | 1804 | 0.7744          | 0.7961   |
| 0.2326        | 12.0  | 1968 | 0.7301          | 0.8167   |
| 0.2245        | 13.0  | 2132 | 0.7387          | 0.8145   |
| 0.2291        | 14.0  | 2296 | 0.7217          | 0.8243   |
| 0.2282        | 15.0  | 2460 | 0.7337          | 0.8059   |
| 0.2236        | 16.0  | 2624 | 0.7246          | 0.8189   |
| 0.2276        | 17.0  | 2788 | 0.7214          | 0.8243   |
| 0.2178        | 18.0  | 2952 | 0.7251          | 0.8178   |
| 0.2235        | 19.0  | 3116 | 0.7220          | 0.8232   |
| 0.2175        | 20.0  | 3280 | 0.7220          | 0.8221   |


### Framework versions

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