---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-gesture-prediction-21-classes
  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. -->

# bert-finetuned-gesture-prediction-21-classes

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9626
- Precision: 0.8178
- Recall: 0.8178
- F1: 0.8178
- Accuracy: 0.8075

## 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: 6.042200829392303e-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
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 2.3221        | 1.0   | 26   | 1.4762          | 0.6969    | 0.6969 | 0.6969 | 0.6192   |
| 1.2093        | 2.0   | 52   | 0.9843          | 0.7634    | 0.7634 | 0.7634 | 0.7469   |
| 0.7309        | 3.0   | 78   | 0.8908          | 0.7878    | 0.7878 | 0.7878 | 0.7690   |
| 0.4596        | 4.0   | 104  | 0.8613          | 0.7894    | 0.7894 | 0.7894 | 0.7763   |
| 0.2947        | 5.0   | 130  | 0.8971          | 0.8075    | 0.8075 | 0.8075 | 0.7962   |
| 0.1921        | 6.0   | 156  | 0.8838          | 0.8063    | 0.8063 | 0.8063 | 0.7956   |
| 0.1348        | 7.0   | 182  | 0.9271          | 0.8166    | 0.8166 | 0.8166 | 0.8057   |
| 0.0986        | 8.0   | 208  | 0.9548          | 0.8137    | 0.8137 | 0.8137 | 0.8035   |
| 0.073         | 9.0   | 234  | 0.9553          | 0.8174    | 0.8174 | 0.8174 | 0.8063   |
| 0.0619        | 10.0  | 260  | 0.9626          | 0.8178    | 0.8178 | 0.8178 | 0.8075   |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1