---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
- recall
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6945
- Accuracy: 0.4694
- F1score: 0.6
- Recall: 0.8667
- Tn: 7
- Fp: 46
- Fn: 6
- Tp: 39

## 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: 1e-08
- train_batch_size: 8
- eval_batch_size: 8
- 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 | Accuracy | F1score | Recall | Tn | Fp | Fn | Tp |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|:------:|:--:|:--:|:--:|:--:|
| No log        | 1.0   | 13   | 0.6945          | 0.4694   | 0.6     | 0.8667 | 7  | 46 | 6  | 39 |
| No log        | 2.0   | 26   | 0.6945          | 0.4694   | 0.6     | 0.8667 | 7  | 46 | 6  | 39 |
| No log        | 3.0   | 39   | 0.6945          | 0.4694   | 0.6     | 0.8667 | 7  | 46 | 6  | 39 |
| No log        | 4.0   | 52   | 0.6945          | 0.4694   | 0.6     | 0.8667 | 7  | 46 | 6  | 39 |
| No log        | 5.0   | 65   | 0.6945          | 0.4694   | 0.6     | 0.8667 | 7  | 46 | 6  | 39 |
| No log        | 6.0   | 78   | 0.6945          | 0.4694   | 0.6     | 0.8667 | 7  | 46 | 6  | 39 |
| No log        | 7.0   | 91   | 0.6945          | 0.4694   | 0.6     | 0.8667 | 7  | 46 | 6  | 39 |
| No log        | 8.0   | 104  | 0.6945          | 0.4694   | 0.6     | 0.8667 | 7  | 46 | 6  | 39 |
| No log        | 9.0   | 117  | 0.6945          | 0.4694   | 0.6     | 0.8667 | 7  | 46 | 6  | 39 |
| No log        | 10.0  | 130  | 0.6945          | 0.4694   | 0.6     | 0.8667 | 7  | 46 | 6  | 39 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1