---
license: apache-2.0
tags:
- whisper-event
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
- google/fleurs
metrics:
- wer
model-index:
  - name: whisper-small-mn-2-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: 40.87830456630981
---

<!-- 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-2

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: 0.7259
- Wer: 40.8783
- Cer: 13.9617

## 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: 16
- 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 results

| Training Loss | Epoch | Step  | Validation Loss | Wer     | Cer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.0839        | 4.26  | 1000  | 0.4647          | 45.7286 | 16.0020 |
| 0.0093        | 8.51  | 2000  | 0.5434          | 43.9753 | 15.2446 |
| 0.0044        | 12.77 | 3000  | 0.6009          | 43.6257 | 15.1717 |
| 0.0029        | 17.02 | 4000  | 0.6166          | 43.0031 | 14.7578 |
| 0.002         | 21.28 | 5000  | 0.6390          | 42.6098 | 14.7286 |
| 0.001         | 25.53 | 6000  | 0.6558          | 41.7468 | 14.3516 |
| 0.0021        | 29.79 | 7000  | 0.6714          | 42.3039 | 14.4589 |
| 0.0003        | 34.04 | 8000  | 0.6791          | 41.0586 | 13.9506 |
| 0.0001        | 38.3  | 9000  | 0.6949          | 41.3808 | 14.1670 |
| 0.0013        | 42.55 | 10000 | 0.6875          | 41.4682 | 14.2983 |
| 0.0001        | 46.81 | 11000 | 0.6937          | 40.9165 | 13.9549 |
| 0.0001        | 51.06 | 12000 | 0.7092          | 40.9275 | 13.9549 |
| 0.0           | 55.32 | 13000 | 0.7190          | 40.9657 | 13.9703 |
| 0.0           | 59.57 | 14000 | 0.7259          | 40.8783 | 13.9617 |
| 0.0           | 63.83 | 15000 | 0.7292          | 40.8838 | 13.9274 |


### Framework versions

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