|
--- |
|
language: en |
|
license: apache-2.0 |
|
tags: |
|
- audio-classification |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
- f1 |
|
model-index: |
|
- name: distil-wav2vec2-adult-child-cls-52m |
|
results: [] |
|
--- |
|
|
|
# DistilWav2Vec2 Adult/Child Speech Classifier 52M |
|
|
|
DistilWav2Vec2 Adult/Child Speech Classifier is an audio classification model based on the [wav2vec 2.0](https://arxiv.org/abs/2006.11477) architecture. This model is a distilled version of [wav2vec2-adult-child-cls](https://huggingface.co/bookbot/wav2vec2-adult-child-cls) on a private adult/child speech classification dataset. |
|
|
|
This model was trained using HuggingFace's PyTorch framework. All training was done on a Tesla P100, provided by Kaggle. Training metrics were logged via Tensorboard. |
|
|
|
## Model |
|
|
|
| Model | #params | Arch. | Training/Validation data (text) | |
|
| ------------------------------------- | ------- | ----------- | ----------------------------------------- | |
|
| `distil-wav2vec2-adult-child-cls-52m` | 52M | wav2vec 2.0 | Adult/Child Speech Classification Dataset | |
|
|
|
## Evaluation Results |
|
|
|
The model achieves the following results on evaluation: |
|
|
|
| Dataset | Loss | Accuracy | F1 | |
|
| --------------------------------- | ------ | -------- | ------ | |
|
| Adult/Child Speech Classification | 0.1301 | 96.03% | 0.9639 | |
|
|
|
## 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 | |
|
|
|
## Disclaimer |
|
|
|
Do consider the biases which came from pre-training datasets that may be carried over into the results of this model. |
|
|
|
## Authors |
|
|
|
DistilWav2Vec2 Adult/Child Speech Classifier was trained and evaluated by [Wilson Wongso](https://w11wo.github.io/). All computation and development are done on Kaggle. |
|
|
|
## Framework versions |
|
|
|
- Transformers 4.16.2 |
|
- Pytorch 1.10.2+cu102 |
|
- Datasets 1.18.3 |
|
- Tokenizers 0.10.3 |
|
|
