---
license: apache-2.0
tags:
- whisper-event
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- bayartsogt/youtube-mongolian-v1
metrics:
- wer
model-index:
  - name: whisper-small-mn-6-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: 35.8859514966135
---

<!-- 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-6

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: 0.3296
- Wer: 35.8860
- Cer: 13.3108

## 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 results

| Training Loss | Epoch | Step  | Validation Loss | Wer     | Cer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.3774        | 0.8   | 1000  | 0.4319          | 53.2773 | 19.6627 |
| 0.2926        | 1.61  | 2000  | 0.3493          | 40.4960 | 15.0214 |
| 0.2331        | 2.41  | 3000  | 0.3346          | 39.1741 | 14.7689 |
| 0.1636        | 3.22  | 4000  | 0.3287          | 36.9237 | 13.7943 |
| 0.1157        | 4.02  | 5000  | 0.3296          | 35.8860 | 13.3108 |
| 0.1271        | 4.82  | 6000  | 0.3422          | 36.0717 | 13.5702 |
| 0.0879        | 5.63  | 7000  | 0.3661          | 36.6943 | 13.7780 |
| 0.0574        | 6.43  | 8000  | 0.3884          | 36.4595 | 13.5015 |
| 0.036         | 7.23  | 9000  | 0.4128          | 37.1422 | 13.8424 |
| 0.0229        | 8.04  | 10000 | 0.4321          | 36.8582 | 13.8475 |
| 0.0241        | 8.84  | 11000 | 0.4530          | 37.1095 | 13.8673 |
| 0.0123        | 9.65  | 12000 | 0.4763          | 37.5956 | 13.9583 |
| 0.007         | 10.45 | 13000 | 0.4939          | 37.3116 | 13.9360 |
| 0.0047        | 11.25 | 14000 | 0.5054          | 37.1750 | 13.8106 |
| 0.0036        | 12.06 | 15000 | 0.5093          | 37.5082 | 13.8930 |


### Framework versions

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