---
library_name: transformers
language:
- kz
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- Commonvoice-kazakh
metrics:
- wer
model-index:
- name: Kammi
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: BilalS96/Commonvoice-kazakh
      type: Commonvoice-kazakh
      config: kk
      split: None
      args: 'config: kzk, split: test'
    metrics:
    - type: wer
      value: 1.0
      name: Wer
---

<!-- 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. -->

# Kammi

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the BilalS96/Commonvoice-kazakh dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2424
- Wer: 1.0

## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- 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
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer |
|:-------------:|:-------:|:----:|:---------------:|:---:|
| 3.7719        | 4.3860  | 500  | 3.2418          | 1.0 |
| 3.2332        | 8.7719  | 1000 | 3.2473          | 1.0 |
| 3.2332        | 13.1579 | 1500 | 3.2480          | 1.0 |
| 3.227         | 17.5439 | 2000 | 3.2337          | 1.0 |
| 3.2218        | 21.9298 | 2500 | 3.2342          | 1.0 |
| 3.2361        | 26.3158 | 3000 | 3.2424          | 1.0 |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0