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

This model is a fine-tuned version of [anantoj/wav2vec2-adult-child-id-cls-v2](https://huggingface.co/anantoj/wav2vec2-adult-child-id-cls-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1560
- Accuracy: 0.9489
- F1: 0.9480

## 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: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.2494        | 1.0   | 76   | 0.1706          | 0.9454   | 0.9421 |
| 0.2015        | 2.0   | 152  | 0.1519          | 0.9483   | 0.9464 |
| 0.1674        | 3.0   | 228  | 0.1560          | 0.9489   | 0.9480 |
| 0.1596        | 4.0   | 304  | 0.1760          | 0.9449   | 0.9414 |
| 0.0873        | 5.0   | 380  | 0.1825          | 0.9478   | 0.9452 |
| 0.0996        | 6.0   | 456  | 0.1733          | 0.9478   | 0.9460 |
| 0.1055        | 7.0   | 532  | 0.1749          | 0.9454   | 0.9433 |


### Framework versions

- Transformers 4.19.0.dev0
- Pytorch 1.11.0+cu102
- Datasets 2.2.1
- Tokenizers 0.12.1