---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: roberta-finetuned-gesture-prediction-5-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. -->

# roberta-finetuned-gesture-prediction-5-classes

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4016
- Precision: 0.6731
- Recall: 0.7778
- F1: 0.7216
- Accuracy: 0.8912

## 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: 8.933445816612466e-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
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 1.2011        | 1.0   | 36   | 0.7200          | 0.4537    | 0.5636 | 0.5027 | 0.7552   |
| 0.473         | 2.0   | 72   | 0.5067          | 0.6552    | 0.7333 | 0.6921 | 0.8627   |
| 0.2919        | 3.0   | 108  | 0.4244          | 0.6267    | 0.7394 | 0.6784 | 0.8721   |
| 0.1748        | 4.0   | 144  | 0.4016          | 0.6731    | 0.7778 | 0.7216 | 0.8912   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2