---
tags:
- audio-classification
- generated_from_trainer
datasets:
- superb
metrics:
- accuracy
model-index:
- name: trillsson3-ft-keyword-spotting-13
  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. -->

# trillsson3-ft-keyword-spotting-13

This model is a fine-tuned version of [vumichien/nonsemantic-speech-trillsson3](https://huggingface.co/vumichien/nonsemantic-speech-trillsson3) on the superb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3085
- Accuracy: 0.9153

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 32
- seed: 0
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.8064        | 1.0   | 798   | 0.9359          | 0.6403   |
| 0.8601        | 2.0   | 1596  | 0.4832          | 0.8528   |
| 0.7585        | 3.0   | 2394  | 0.3952          | 0.8854   |
| 0.7026        | 4.0   | 3192  | 0.3623          | 0.9050   |
| 0.6924        | 5.0   | 3990  | 0.3456          | 0.9035   |
| 0.6816        | 6.0   | 4788  | 0.3405          | 0.9006   |
| 0.6461        | 7.0   | 5586  | 0.3384          | 0.9004   |
| 0.6697        | 8.0   | 6384  | 0.3272          | 0.9045   |
| 0.6575        | 9.0   | 7182  | 0.3237          | 0.9109   |
| 0.6634        | 10.0  | 7980  | 0.3258          | 0.9026   |
| 0.6604        | 11.0  | 8778  | 0.3179          | 0.9042   |
| 0.6483        | 12.0  | 9576  | 0.3203          | 0.9059   |
| 0.6578        | 13.0  | 10374 | 0.3160          | 0.9089   |
| 0.654         | 14.0  | 11172 | 0.3139          | 0.9091   |
| 0.6418        | 15.0  | 11970 | 0.3091          | 0.9125   |
| 0.6394        | 16.0  | 12768 | 0.3223          | 0.9029   |
| 0.637         | 17.0  | 13566 | 0.3085          | 0.9153   |
| 0.6258        | 18.0  | 14364 | 0.3182          | 0.9069   |
| 0.6438        | 19.0  | 15162 | 0.3127          | 0.9078   |
| 0.6569        | 20.0  | 15960 | 0.3101          | 0.9114   |


### Framework versions

- Transformers 4.23.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1