---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: wav2vec2-adult-child-id-cls-v2
  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. -->

# wav2vec2-adult-child-id-cls-v2

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: 0.2603
- Accuracy: 0.9222
- F1: 0.9202

## 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: 3e-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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.2415        | 1.0   | 305  | 0.2951          | 0.8804   | 0.8695 |
| 0.202         | 2.0   | 610  | 0.2392          | 0.9124   | 0.9081 |
| 0.2161        | 3.0   | 915  | 0.2508          | 0.9199   | 0.9161 |
| 0.1348        | 4.0   | 1220 | 0.2748          | 0.9153   | 0.9126 |
| 0.162         | 5.0   | 1525 | 0.2603          | 0.9222   | 0.9202 |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu102
- Datasets 2.2.0
- Tokenizers 0.12.1