---
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: 1.0260
- Precision: 0.8125
- Recall: 0.8125
- F1: 0.8125
- Accuracy: 0.8022

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 2.2133        | 1.0   | 26   | 1.4161          | 0.7074    | 0.7074 | 0.7074 | 0.6642   |
| 1.1038        | 2.0   | 52   | 0.9797          | 0.7678    | 0.7678 | 0.7678 | 0.7521   |
| 0.6732        | 3.0   | 78   | 0.9139          | 0.7908    | 0.7908 | 0.7908 | 0.7738   |
| 0.4167        | 4.0   | 104  | 0.9106          | 0.7978    | 0.7978 | 0.7978 | 0.7826   |
| 0.2739        | 5.0   | 130  | 0.9295          | 0.8017    | 0.8017 | 0.8017 | 0.7883   |
| 0.1772        | 6.0   | 156  | 0.9294          | 0.8116    | 0.8116 | 0.8116 | 0.7989   |
| 0.1223        | 7.0   | 182  | 0.9899          | 0.8085    | 0.8085 | 0.8085 | 0.7964   |
| 0.0916        | 8.0   | 208  | 1.0156          | 0.8130    | 0.8130 | 0.8130 | 0.8012   |
| 0.0656        | 9.0   | 234  | 1.0234          | 0.8136    | 0.8136 | 0.8136 | 0.8025   |
| 0.0563        | 10.0  | 260  | 1.0260          | 0.8125    | 0.8125 | 0.8125 | 0.8022   |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1