---
language:
- ha
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
- "ha"
- "robust-speech-event"
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 [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - HA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4925
- Wer: 0.5714

## 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: 7.5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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: 2000
- num_epochs: 80.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.1674        | 8.33  | 500  | 3.0295          | 1.0    |
| 2.6987        | 16.66 | 1000 | 2.6878          | 1.0    |
| 1.3454        | 24.99 | 1500 | 0.6814          | 0.6981 |
| 1.1227        | 33.33 | 2000 | 0.5791          | 0.6513 |
| 0.9972        | 41.66 | 2500 | 0.5235          | 0.5718 |
| 0.9123        | 49.99 | 3000 | 0.5104          | 0.5633 |
| 0.836         | 58.33 | 3500 | 0.4927          | 0.5580 |
| 0.7725        | 66.66 | 4000 | 0.5078          | 0.5779 |
| 0.7297        | 74.99 | 4500 | 0.4939          | 0.5737 |


### Framework versions

- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu113
- Datasets 1.18.4.dev0
- Tokenizers 0.11.0