---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-finetuned-gesture-prediction-5-classes
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-finetuned-gesture-prediction-5-classes

This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5263
- Precision: 0.6592
- Recall: 0.7697
- F1: 0.7102
- Accuracy: 0.8714

## 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: 9.294052849737191e-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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.9034        | 1.0   | 71   | 0.5358          | 0.5679    | 0.6929 | 0.6242 | 0.8347   |
| 0.3774        | 2.0   | 142  | 0.4307          | 0.6598    | 0.7758 | 0.7131 | 0.8721   |
| 0.1915        | 3.0   | 213  | 0.5510          | 0.6336    | 0.7475 | 0.6858 | 0.8589   |
| 0.09          | 4.0   | 284  | 0.5263          | 0.6592    | 0.7697 | 0.7102 | 0.8714   |


### Framework versions

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