---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: xlsr-53-bemba-15hrs
  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. -->

# xlsr-53-bemba-15hrs

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2789
- Wer: 0.3751

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.4138        | 0.71  | 400  | 0.4965          | 0.7239 |
| 0.5685        | 1.43  | 800  | 0.2939          | 0.4839 |
| 0.4471        | 2.15  | 1200 | 0.2728          | 0.4467 |
| 0.3579        | 2.86  | 1600 | 0.2397          | 0.3965 |
| 0.3087        | 3.58  | 2000 | 0.2427          | 0.4015 |
| 0.2702        | 4.29  | 2400 | 0.2539          | 0.4112 |
| 0.2406        | 5.01  | 2800 | 0.2376          | 0.3885 |
| 0.2015        | 5.72  | 3200 | 0.2492          | 0.3844 |
| 0.1759        | 6.44  | 3600 | 0.2562          | 0.3768 |
| 0.1572        | 7.16  | 4000 | 0.2789          | 0.3751 |


### Framework versions

- Transformers 4.19.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1