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

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: 0.3563
- Accuracy: 0.9041

## 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: 32
- eval_batch_size: 64
- seed: 0
- gradient_accumulation_steps: 2
- 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: 10.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1824        | 1.0   | 798  | 0.6478          | 0.7489   |
| 0.7448        | 2.0   | 1596 | 0.4274          | 0.8728   |
| 0.7089        | 3.0   | 2394 | 0.3723          | 0.8950   |
| 0.6781        | 4.0   | 3192 | 0.3563          | 0.9041   |
| 0.6386        | 5.0   | 3990 | 0.3441          | 0.8986   |
| 0.6342        | 6.0   | 4788 | 0.3380          | 0.8994   |
| 0.6275        | 7.0   | 5586 | 0.3376          | 0.8982   |
| 0.6349        | 8.0   | 6384 | 0.3333          | 0.9014   |
| 0.6261        | 9.0   | 7182 | 0.3295          | 0.9025   |
| 0.6188        | 10.0  | 7980 | 0.3322          | 0.9025   |


### Framework versions

- Transformers 4.23.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2