---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: xlsr-53-bemba-10hrs
  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-10hrs

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: 0.3190
- Wer: 0.4032

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.3207        | 1.07  | 400  | 0.3720          | 0.5923 |
| 0.5688        | 2.14  | 800  | 0.3073          | 0.5002 |
| 0.3927        | 3.22  | 1200 | 0.2678          | 0.4521 |
| 0.316         | 4.29  | 1600 | 0.2703          | 0.4261 |
| 0.2531        | 5.36  | 2000 | 0.2663          | 0.4198 |
| 0.2051        | 6.43  | 2400 | 0.2614          | 0.4037 |
| 0.1584        | 7.51  | 2800 | 0.2853          | 0.4046 |
| 0.1343        | 8.58  | 3200 | 0.3072          | 0.4121 |
| 0.1031        | 9.65  | 3600 | 0.3190          | 0.4032 |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1