---
library_name: transformers
language:
- ru
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- fsicoli/common_voice_18_0
metrics:
- wer
model-index:
- name: Whisper Small CV 18 - Garon
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 18.0 Ru
      type: fsicoli/common_voice_18_0
      config: ru
      split: None
      args: 'split: train, test'
    metrics:
    - name: Wer
      type: wer
      value: 16.3383290187019
---

<!-- 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 CV 18 - Garon

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 18.0 Ru dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2906
- Wer: 16.3383

## 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: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.2603        | 1.0   | 826  | 0.2231          | 18.2503 |
| 0.1298        | 2.0   | 1652 | 0.2108          | 17.0453 |
| 0.0586        | 3.0   | 2478 | 0.2165          | 16.8375 |
| 0.0271        | 4.0   | 3304 | 0.2315          | 16.7760 |
| 0.0122        | 5.0   | 4130 | 0.2478          | 16.7864 |
| 0.0057        | 6.0   | 4956 | 0.2667          | 16.5670 |
| 0.0029        | 7.0   | 5782 | 0.2727          | 16.2594 |
| 0.0018        | 8.0   | 6608 | 0.2833          | 16.3743 |
| 0.0013        | 9.0   | 7434 | 0.2885          | 16.2594 |
| 0.0011        | 10.0  | 8260 | 0.2906          | 16.3383 |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0