---
language: mn
license: apache-2.0
tags:
- whisper-event
- hf-asr-leaderboard
- generated_from_multiple_datasets
datasets:
- mozilla-foundation/common_voice_11_0
- google/fleurs
- bayartsogt/ulaanbal-v0
- bayartsogt/youtube-mongolian-v1
metrics:
- wer
- cer
model-index:
- name: whisper-small-mn-12
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: Common Voice 11.0
      type: mozilla-foundation/common_voice_11_0
      config: mn
      split: test
    metrics:
    - type: wer
      value: 32.33012890539655
      name: Wer
    - type: cer
      value: 13.34925204253124
      name: Cer
---

<!-- 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-mn-12

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2949
- Wer: 32.3301
- Cer: 13.3493

## 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: 500
- training_steps: 25000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     | Cer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.3012        | 1.05  | 1000  | 0.3749          | 43.2379 | 17.6739 |
| 0.2171        | 2.11  | 2000  | 0.3012          | 36.7435 | 15.2029 |
| 0.1732        | 3.16  | 3000  | 0.2823          | 33.4225 | 13.7561 |
| 0.145         | 4.21  | 4000  | 0.2822          | 32.4995 | 13.2436 |
| 0.1159        | 5.27  | 5000  | 0.2949          | 32.3301 | 13.3493 |
| 0.0863        | 6.32  | 6000  | 0.3116          | 32.7234 | 13.3892 |
| 0.0685        | 7.38  | 7000  | 0.3343          | 32.4776 | 13.3077 |
| 0.0506        | 8.43  | 8000  | 0.3584          | 33.3952 | 13.7736 |
| 0.0336        | 9.48  | 9000  | 0.3861          | 33.7011 | 13.8493 |
| 0.0215        | 10.54 | 10000 | 0.4193          | 33.7011 | 14.0140 |
| 0.0141        | 11.59 | 11000 | 0.4463          | 34.0343 | 14.0298 |
| 0.0089        | 12.64 | 12000 | 0.4660          | 33.6137 | 13.8052 |
| 0.0057        | 13.7  | 13000 | 0.4913          | 33.9797 | 13.9849 |
| 0.0039        | 14.75 | 14000 | 0.5078          | 33.9906 | 14.0656 |
| 0.0033        | 15.81 | 15000 | 0.5244          | 33.7721 | 13.9192 |
| 0.0024        | 16.86 | 16000 | 0.5358          | 33.7612 | 13.7910 |
| 0.0018        | 17.91 | 17000 | 0.5469          | 33.6465 | 13.8468 |
| 0.0013        | 18.97 | 18000 | 0.5614          | 33.6683 | 13.7553 |
| 0.0014        | 20.02 | 19000 | 0.5707          | 33.6574 | 13.8884 |
| 0.0006        | 21.07 | 20000 | 0.5835          | 34.0671 | 14.0764 |
| 0.0007        | 22.13 | 21000 | 0.5927          | 33.9742 | 14.0772 |
| 0.0005        | 23.18 | 22000 | 0.5994          | 34.0398 | 14.0290 |
| 0.0004        | 24.24 | 23000 | 0.6067          | 33.9469 | 13.9217 |
| 0.0003        | 25.29 | 24000 | 0.6109          | 33.9688 | 13.9591 |
| 0.0003        | 26.34 | 25000 | 0.6130          | 33.8267 | 13.8360 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2