---
library_name: transformers
language:
- ru
license: mit
base_model: openai/whisper-large-v3-turbo
tags:
- generated_from_trainer
datasets:
- skinnynpale/sasha-ai-asr-dataset-22
metrics:
- wer
model-index:
- name: Whisper Large V3 Turbo Russian
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: skinnynpale/sasha-ai-asr-dataset-22
      type: skinnynpale/sasha-ai-asr-dataset-22
      args: 'split: train+validation'
    metrics:
    - name: Wer
      type: wer
      value: 0.4558936614302977
---

<!-- 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 Large V3 Turbo Russian

This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the skinnynpale/sasha-ai-asr-dataset-22 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0165
- Wer: 0.4559

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.0831        | 0.8183 | 1000 | 0.0442          | 1.6258 |
| 0.0973        | 1.6367 | 2000 | 0.0251          | 1.1095 |
| 0.077         | 2.4550 | 3000 | 0.0204          | 0.7415 |
| 0.0515        | 3.2733 | 4000 | 0.0165          | 0.4559 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1