---
library_name: transformers
language:
- kk
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Medium KK - Kazakh - Fleurs - Common Voice
  results: []
datasets:
- google/fleurs
- mozilla-foundation/common_voice_17_0
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper Medium KK - Kazakh - Fleurs - Common Voice

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3910
- Wer: 21.2101

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.0045        | 7.5725  | 1000 | 0.3121          | 23.2826 |
| 0.0003        | 15.1507 | 2000 | 0.3523          | 21.3939 |
| 0.0001        | 22.7232 | 3000 | 0.3738          | 21.3661 |
| 0.0001        | 30.3013 | 4000 | 0.3863          | 21.3772 |
| 0.0001        | 37.8738 | 5000 | 0.3910          | 21.2101 |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu118
- Datasets 3.6.0
- Tokenizers 0.21.0