---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- wer
base_model: openai/whisper-small
model-index:
- name: whisper-small-fine_tuned-ru
  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-fine_tuned-ru

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the [Mozilla common_voice_13_0](mozilla-foundation/common_voice_13_0) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2290
- Wer: 17.6336

## 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: 5e-07
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- training_steps: 5000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0286        | 0.22  | 500  | 0.2225          | 18.0199 |
| 0.0287        | 0.44  | 1000 | 0.2235          | 18.0455 |
| 0.0334        | 0.66  | 1500 | 0.2243          | 18.1956 |
| 0.0373        | 0.88  | 2000 | 0.2239          | 17.9803 |
| 0.0261        | 1.1   | 2500 | 0.2268          | 17.7674 |
| 0.0252        | 1.32  | 3000 | 0.2277          | 17.8221 |
| 0.0265        | 1.54  | 3500 | 0.2290          | 17.6336 |
| 0.0271        | 1.76  | 4000 | 0.2293          | 17.8279 |
| 0.0252        | 1.97  | 4500 | 0.2293          | 17.8744 |
| 0.023         | 2.19  | 5000 | 0.2298          | 17.8930 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3