---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2_xls_r_300m_BIG-C_Bemba_1hr_v2
  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. -->

# wav2vec2_xls_r_300m_BIG-C_Bemba_1hr_v2

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 14.9650
- Model Preparation Time: 0.0065
- Wer: 1.0
- Cer: 1.0883

## 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: 0.0001
- 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: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Model Preparation Time | Wer | Cer    |
|:-------------:|:-------:|:----:|:---------------:|:----------------------:|:---:|:------:|
| 15.5971       | 0.9677  | 15   | 14.9495         | 0.0065                 | 1.0 | 1.0688 |
| 14.3431       | 2.0     | 31   | 14.4988         | 0.0065                 | 1.0 | 0.9944 |
| 14.6096       | 2.9677  | 46   | 13.5477         | 0.0065                 | 1.0 | 0.9877 |
| 12.0537       | 4.0     | 62   | 10.5808         | 0.0065                 | 1.0 | 1.0    |
| 8.4919        | 4.9677  | 77   | 6.4485          | 0.0065                 | 1.0 | 1.0    |
| 5.2708        | 6.0     | 93   | 4.7793          | 0.0065                 | 1.0 | 1.0    |
| 4.5315        | 6.9677  | 108  | 4.1769          | 0.0065                 | 1.0 | 1.0    |
| 3.8136        | 8.0     | 124  | 3.8360          | 0.0065                 | 1.0 | 1.0    |
| 3.813         | 8.9677  | 139  | 3.6393          | 0.0065                 | 1.0 | 1.0    |
| 3.4064        | 10.0    | 155  | 3.4606          | 0.0065                 | 1.0 | 1.0    |
| 3.4865        | 10.9677 | 170  | 3.3233          | 0.0065                 | 1.0 | 1.0    |


### Framework versions

- Transformers 4.43.4
- Pytorch 2.2.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1