---
license: apache-2.0
tags:
- audio-classification
- generated_from_trainer
datasets:
- common_language
metrics:
- accuracy
model-index:
- name: out
  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. -->

# out

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: 0.6339
- Accuracy: 0.8898

## 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: 32
- eval_batch_size: 32
- seed: 0
- 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4103        | 1.0   | 694  | 1.1299          | 0.7471   |
| 0.5324        | 2.0   | 1388 | 0.6167          | 0.8495   |
| 0.3164        | 3.0   | 2082 | 0.5136          | 0.8679   |
| 0.1535        | 4.0   | 2776 | 0.5264          | 0.8758   |
| 0.1018        | 5.0   | 3470 | 0.5890          | 0.8767   |
| 0.0555        | 6.0   | 4164 | 0.6121          | 0.8772   |
| 0.031         | 7.0   | 4858 | 0.6624          | 0.8777   |
| 0.0264        | 8.0   | 5552 | 0.6172          | 0.8869   |
| 0.0079        | 9.0   | 6246 | 0.6225          | 0.8884   |
| 0.0058        | 10.0  | 6940 | 0.6339          | 0.8898   |


### Framework versions

- Transformers 4.30.2
- Pytorch 1.8.0+cu111
- Datasets 2.11.0
- Tokenizers 0.13.3