---
license: mit
base_model: facebook/w2v-bert-2.0
tags:
- generated_from_trainer
datasets:
- common_voice_14_0
metrics:
- wer
model-index:
- name: w2v-bert-2.0-swahili-V100-32GB-CV14.0
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: common_voice_14_0
      type: common_voice_14_0
      config: sw
      split: test
      args: sw
    metrics:
    - name: Wer
      type: wer
      value: 0.9282208525831644
---

<!-- 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. -->

# w2v-bert-2.0-swahili-V100-32GB-CV14.0

This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the common_voice_14_0 dataset.
It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.9282
- Cer: 0.3257

## 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: 5e-05
- 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
- training_steps: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 1.5245        | 0.19  | 300  | inf             | 0.2379 | 0.0709 |
| 0.2545        | 0.38  | 600  | inf             | 0.2225 | 0.0672 |
| 0.2269        | 0.57  | 900  | inf             | 0.2020 | 0.0621 |
| 0.2027        | 0.77  | 1200 | inf             | 0.1941 | 0.0604 |
| 0.1866        | 0.96  | 1500 | inf             | 0.1893 | 0.0591 |
| 0.1721        | 1.15  | 1800 | inf             | 0.1747 | 0.0538 |
| 0.1689        | 1.34  | 2100 | inf             | 0.1781 | 0.0543 |
| 0.1647        | 1.53  | 2400 | inf             | 0.1795 | 0.0545 |
| 0.1652        | 1.72  | 2700 | inf             | 0.1736 | 0.0541 |
| 0.1659        | 1.91  | 3000 | inf             | 0.1733 | 0.0528 |
| 0.1653        | 2.1   | 3300 | inf             | 0.1753 | 0.0532 |
| 0.1577        | 2.3   | 3600 | inf             | 0.1762 | 0.0530 |
| 0.192         | 2.49  | 3900 | inf             | 0.1876 | 0.0579 |
| 0.2557        | 2.68  | 4200 | inf             | 0.2411 | 0.0619 |
| 0.3876        | 2.87  | 4500 | inf             | 0.2376 | 0.0677 |
| 0.4498        | 3.06  | 4800 | inf             | 0.2080 | 0.0622 |
| 0.4865        | 3.25  | 5100 | inf             | 0.2706 | 0.0744 |
| 0.842         | 3.44  | 5400 | inf             | 0.5120 | 0.1169 |
| 0.9809        | 3.64  | 5700 | inf             | 0.6735 | 0.1610 |
| 1.0493        | 3.83  | 6000 | inf             | 0.8517 | 0.2787 |
| 1.236         | 4.02  | 6300 | inf             | 0.7717 | 0.1951 |
| 1.2051        | 4.21  | 6600 | inf             | 0.7491 | 0.1868 |
| 1.1908        | 4.4   | 6900 | inf             | 0.8410 | 0.2340 |
| 1.1987        | 4.59  | 7200 | inf             | 0.9118 | 0.2833 |
| 1.2397        | 4.78  | 7500 | inf             | 0.9282 | 0.3257 |
| 1.2443        | 4.97  | 7800 | inf             | 0.9282 | 0.3257 |
| 1.2428        | 5.17  | 8100 | inf             | 0.9282 | 0.3257 |
| 1.2422        | 5.36  | 8400 | inf             | 0.9282 | 0.3257 |
| 1.249         | 5.55  | 8700 | inf             | 0.9282 | 0.3257 |
| 1.2518        | 5.74  | 9000 | inf             | 0.9282 | 0.3257 |
| 1.2374        | 5.93  | 9300 | inf             | 0.9282 | 0.3257 |
| 1.2369        | 6.12  | 9600 | inf             | 0.9282 | 0.3257 |
| 1.2454        | 6.31  | 9900 | inf             | 0.9282 | 0.3257 |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.2.1
- Datasets 2.17.0
- Tokenizers 0.15.2