---
base_model: facebook/wav2vec2-large-xlsr-53
datasets:
- common_voice_17_0
license: apache-2.0
metrics:
- wer
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-large-xlsr-Mongolian-cv17-base
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: common_voice_17_0
      type: common_voice_17_0
      config: mn
      split: validation
      args: mn
    metrics:
    - type: wer
      value: 0.7902951968892054
      name: Wer
---

<!-- 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. -->

# wav2vec2-large-xlsr-Mongolian-cv17-base

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_17_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9632
- Wer: 0.7903

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| No log        | 1.1940  | 40   | 13.1486         | 1.0009 |
| No log        | 2.3881  | 80   | 7.6639          | 1.0    |
| No log        | 3.5821  | 120  | 3.4345          | 1.0    |
| No log        | 4.7761  | 160  | 3.1527          | 1.0    |
| No log        | 5.9701  | 200  | 3.1223          | 1.0    |
| No log        | 7.1642  | 240  | 3.1137          | 1.0    |
| No log        | 8.3582  | 280  | 3.1017          | 1.0    |
| No log        | 9.5522  | 320  | 3.0909          | 1.0    |
| No log        | 10.7463 | 360  | 3.0363          | 1.0    |
| 5.1112        | 11.9403 | 400  | 2.8364          | 1.0    |
| 5.1112        | 13.1343 | 440  | 2.0134          | 1.0078 |
| 5.1112        | 14.3284 | 480  | 1.3866          | 1.0511 |
| 5.1112        | 15.5224 | 520  | 1.1292          | 0.9320 |
| 5.1112        | 16.7164 | 560  | 1.0117          | 0.9017 |
| 5.1112        | 17.9104 | 600  | 0.9756          | 0.8339 |
| 5.1112        | 19.1045 | 640  | 0.9632          | 0.7903 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1