---
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
metrics:
- wer
- cer
model-index:
- name: whisper-small-mn-11
  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: 51.96635350666375
      name: Wer
    - type: cer
      value: 19.87703213138759
      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-11

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: 1.0138
- Wer: 51.9664
- Cer: 19.8770

## 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     |
|:-------------:|:------:|:-----:|:---------------:|:-------:|:-------:|
| 0.0025        | 32.26  | 1000  | 0.8913          | 53.6214 | 20.6866 |
| 0.0007        | 64.52  | 2000  | 0.9326          | 52.1685 | 19.5991 |
| 0.0001        | 96.77  | 3000  | 1.0138          | 51.9664 | 19.8770 |
| 0.0001        | 129.03 | 4000  | 1.0639          | 52.1248 | 19.9178 |
| 0.0           | 161.29 | 5000  | 1.1236          | 52.0428 | 19.9652 |
| 0.0           | 193.55 | 6000  | 1.1677          | 52.4634 | 20.0351 |
| 0.0           | 225.81 | 7000  | 1.2224          | 52.5836 | 20.1258 |
| 0.0           | 258.06 | 8000  | 1.2633          | 52.7310 | 20.2073 |
| 0.0           | 290.32 | 9000  | 1.3152          | 52.8184 | 20.2273 |
| 0.0           | 322.58 | 10000 | 1.3530          | 52.9495 | 20.3080 |
| 0.0           | 354.84 | 11000 | 1.3995          | 53.0260 | 20.3088 |
| 0.0           | 387.1  | 12000 | 1.4306          | 52.9878 | 20.2057 |
| 0.0           | 419.35 | 13000 | 1.4674          | 52.9714 | 20.3113 |
| 0.0           | 451.61 | 14000 | 1.4859          | 52.9386 | 20.2947 |
| 0.0           | 483.87 | 15000 | 1.4994          | 52.9768 | 20.3280 |


### Framework versions

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