---
license: apache-2.0
base_model:  facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
datasets:
- common_voice_13_0
metrics:
- wer
model-index:
- name: wav2vec2-large-xlsr-mvc-swahili
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: common_voice_13_0
      type: common_voice_13_0
      config: sw
      split: test
      args: sw
    metrics:
    - name: Wer
      type: wer
      value: 0.32237526397075045
---

<!-- 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-mvc-swahili

This model is a fine-tuned version of [eddiegulay/wav2vec2-large-xlsr-mvc-swahili](https://huggingface.co/eddiegulay/wav2vec2-large-xlsr-mvc-swahili) on the common_voice_13_0 dataset.
It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.3224

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 0.17  | 100  | inf             | 1.0    |
| No log        | 0.34  | 200  | inf             | 1.0    |
| No log        | 0.5   | 300  | inf             | 0.3420 |
| 3.3446        | 0.67  | 400  | inf             | 0.3431 |
| 3.3446        | 0.84  | 500  | inf             | 0.3500 |
| 3.3446        | 1.01  | 600  | inf             | 0.3433 |
| 3.3446        | 1.17  | 700  | inf             | 0.3347 |
| 0.1975        | 1.34  | 800  | inf             | 0.3340 |
| 0.1975        | 1.51  | 900  | inf             | 0.3307 |
| 0.1975        | 1.68  | 1000 | inf             | 0.3233 |
| 0.1975        | 1.84  | 1100 | inf             | 0.3224 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1