---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: roberta-finetuned-gesture-prediction-9-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-9-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: 0.5988
- Precision: 0.6628
- Recall: 0.7547
- F1: 0.7058
- Accuracy: 0.8457

## 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: 7.044494533766864e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 1.28          | 1.0   | 87   | 0.8146          | 0.5247    | 0.6511 | 0.5811 | 0.7895   |
| 0.6127        | 2.0   | 174  | 0.6237          | 0.6171    | 0.7153 | 0.6626 | 0.8267   |
| 0.3742        | 3.0   | 261  | 0.5970          | 0.6620    | 0.7577 | 0.7066 | 0.8485   |
| 0.216         | 4.0   | 348  | 0.5988          | 0.6628    | 0.7547 | 0.7058 | 0.8457   |


### Framework versions

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