---
license: apache-2.0
tags:
  - whisper-event
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
  - google/fleurs
  - bayartsogt/ulaanbal-v0
metrics:
  - wer
model-index:
  - name: whisper-small-mn-7-bayartsogt
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Common Voice 11.0
          type: mozilla-foundation/common_voice_11_0
          config: mn
          split: test
          args:
            language: mn
        metrics:
          - name: Wer
            type: wer
            value: 32.64693030369237
---

<!-- 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-7

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: 0.3061
- Wer: 32.6469
- Cer: 11.2319

## 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: 15000
- mixed_precision_training: Native AMP

### Training script
```bash
python train.py \
    --train_datasets "mozilla-foundation/common_voice_11_0|mn|train+validation,google/fleurs|mn_mn|train+validation,bayartsogt/ulaanbal-v0||train" \
    --eval_datasets "mozilla-foundation/common_voice_11_0|mn|test" \
    --whisper-size "small" \
    --language "mn,Mongolian" \
    --keep-chars " абвгдеёжзийклмноөпрстуүфхцчшъыьэюя.,?!" \
    --train-batch-size 32 \
    --eval-batch-size 32 \
    --max-steps 15000 \
    --num-workers 8 \
    --version 7 \
```

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     | Cer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.3416        | 0.61  | 1000  | 0.4335          | 51.0979 | 17.8608 |
| 0.2266        | 1.22  | 2000  | 0.3383          | 39.5346 | 13.6468 |
| 0.2134        | 1.83  | 3000  | 0.2994          | 35.6565 | 12.1677 |
| 0.165         | 2.43  | 4000  | 0.2927          | 34.1927 | 11.4602 |
| 0.1205        | 3.04  | 5000  | 0.2879          | 33.5209 | 11.3002 |
| 0.1284        | 3.65  | 6000  | 0.2884          | 32.7507 | 10.9885 |
| 0.0893        | 4.26  | 7000  | 0.3022          | 33.0894 | 11.2075 |
| 0.0902        | 4.87  | 8000  | 0.3061          | 32.6469 | 11.2319 |
| 0.065         | 5.48  | 9000  | 0.3233          | 32.8163 | 11.1595 |
| 0.0436        | 6.09  | 10000 | 0.3372          | 32.6852 | 11.1384 |
| 0.0469        | 6.7   | 11000 | 0.3481          | 32.8272 | 11.2867 |
| 0.0292        | 7.3   | 12000 | 0.3643          | 33.0784 | 11.3785 |
| 0.0277        | 7.91  | 13000 | 0.3700          | 33.1877 | 11.3600 |
| 0.0196        | 8.52  | 14000 | 0.3806          | 33.3734 | 11.4273 |
| 0.016         | 9.13  | 15000 | 0.3844          | 33.3188 | 11.4248 |


### Framework versions

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