---
license: apache-2.0
tags:
- audio-classification
- generated_from_trainer
datasets:
- common_language
metrics:
- accuracy
base_model: openai/whisper-small
model-index:
- name: whisper-small-ft-common-language-id
  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. -->

# whisper-small-ft-common-language-id

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_language dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6409
- Accuracy: 0.8860

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 0
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1767        | 1.0   | 694  | 1.1063          | 0.7514   |
| 0.582         | 2.0   | 1388 | 0.6595          | 0.8327   |
| 0.3172        | 3.0   | 2082 | 0.5887          | 0.8529   |
| 0.196         | 4.0   | 2776 | 0.5332          | 0.8701   |
| 0.0858        | 5.0   | 3470 | 0.5705          | 0.8733   |
| 0.0477        | 6.0   | 4164 | 0.6311          | 0.8779   |
| 0.0353        | 7.0   | 4858 | 0.6011          | 0.8825   |
| 0.0033        | 8.0   | 5552 | 0.6186          | 0.8843   |
| 0.0071        | 9.0   | 6246 | 0.6409          | 0.8860   |
| 0.0074        | 10.0  | 6940 | 0.6334          | 0.8860   |


### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.2