---
language:
- lg
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_7_0
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: ''
  results: []
---

<!-- 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. -->

# 

This model is a fine-tuned version of [indonesian-nlp/wav2vec2-luganda](https://huggingface.co/indonesian-nlp/wav2vec2-luganda) on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - LG dataset.
It achieves the following results on the evaluation set:
- Loss: 8.8279
- Wer: 1.0123

## 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-08
- train_batch_size: 64
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 10.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 8.1684        | 0.25  | 10   | 8.8588          | 1.0125 |
| 8.1428        | 0.5   | 20   | 8.8569          | 1.0125 |
| 8.1333        | 0.75  | 30   | 8.8552          | 1.0124 |
| 8.7873        | 1.03  | 40   | 8.8532          | 1.0124 |
| 8.1298        | 1.28  | 50   | 8.8516          | 1.0124 |
| 8.1445        | 1.53  | 60   | 8.8499          | 1.0123 |
| 8.1635        | 1.78  | 70   | 8.8483          | 1.0124 |
| 8.7587        | 2.05  | 80   | 8.8468          | 1.0125 |
| 8.1424        | 2.3   | 90   | 8.8454          | 1.0124 |
| 8.1318        | 2.55  | 100  | 8.8440          | 1.0124 |
| 8.1469        | 2.81  | 110  | 8.8428          | 1.0125 |
| 8.7602        | 3.08  | 120  | 8.8416          | 1.0125 |
| 8.1584        | 3.33  | 130  | 8.8405          | 1.0126 |
| 8.142         | 3.58  | 140  | 8.8394          | 1.0126 |
| 8.1285        | 3.83  | 150  | 8.8384          | 1.0124 |
| 8.7756        | 4.1   | 160  | 8.8371          | 1.0124 |
| 8.0991        | 4.35  | 170  | 8.8363          | 1.0125 |
| 8.1442        | 4.6   | 180  | 8.8354          | 1.0124 |
| 8.1294        | 4.86  | 190  | 8.8346          | 1.0124 |
| 8.7276        | 5.13  | 200  | 8.8338          | 1.0125 |
| 8.1439        | 5.38  | 210  | 8.8329          | 1.0124 |
| 8.1115        | 5.63  | 220  | 8.8322          | 1.0124 |
| 8.1501        | 5.88  | 230  | 8.8316          | 1.0125 |
| 8.7143        | 6.15  | 240  | 8.8308          | 1.0124 |
| 8.143         | 6.4   | 250  | 8.8302          | 1.0124 |
| 8.1528        | 6.65  | 260  | 8.8300          | 1.0125 |
| 8.1293        | 6.91  | 270  | 8.8297          | 1.0124 |
| 8.7519        | 7.18  | 280  | 8.8293          | 1.0125 |
| 8.1153        | 7.43  | 290  | 8.8289          | 1.0124 |
| 8.1292        | 7.68  | 300  | 8.8288          | 1.0124 |
| 8.0904        | 7.93  | 310  | 8.8284          | 1.0124 |
| 8.7425        | 8.2   | 320  | 8.8283          | 1.0125 |
| 8.0963        | 8.45  | 330  | 8.8281          | 1.0124 |
| 8.1112        | 8.7   | 340  | 8.8281          | 1.0124 |
| 8.124         | 8.96  | 350  | 8.8281          | 1.0125 |
| 8.7327        | 9.23  | 360  | 8.8279          | 1.0123 |
| 8.1261        | 9.48  | 370  | 8.8279          | 1.0126 |
| 8.1259        | 9.73  | 380  | 8.8279          | 1.0124 |
| 8.1116        | 9.98  | 390  | 8.8279          | 1.0123 |


### Framework versions

- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.3
- Tokenizers 0.11.0