---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distil-wav2vec2-adult-child-cls-v3
  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. -->

# distil-wav2vec2-adult-child-cls-v3

This model is a fine-tuned version of [w11wo/wav2vec2-adult-child-cls-v3](https://huggingface.co/w11wo/wav2vec2-adult-child-cls-v3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1301
- Accuracy: 0.9603
- F1: 0.9639

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.212         | 1.0   | 96   | 0.1561          | 0.9561   | 0.9596 |
| 0.1523        | 2.0   | 192  | 0.1408          | 0.9575   | 0.9616 |
| 0.0844        | 3.0   | 288  | 0.1301          | 0.9603   | 0.9639 |


### Framework versions

- Transformers 4.16.2
- Pytorch 1.10.2+cu102
- Datasets 1.18.3
- Tokenizers 0.10.3