---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- automatic-speech-recognition
- bookbot/common_voice_16_1_sw
- bookbot/ALFFA_swahili
- bookbot/fleurs_sw
- bookbot/swahili_alphabets_phonemes
- bookbot/bookbot_sw_v4
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-xls-r-300m-swahili-cv-fleurs-alffa-alphabets-phonemes-bookbot
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-xls-r-300m-swahili-cv-fleurs-alffa-alphabets-phonemes-bookbot

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1492
- Wer: 0.0575
- Cer: 0.0491

## 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: 0.0002
- 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_ratio: 0.1
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|
| 0.6145        | 0.9998 | 2494 | 0.2315          | 0.0814 | 0.0682 |
| 0.4098        | 2.0    | 4989 | 0.1790          | 0.0674 | 0.0568 |
| 0.2986        | 2.9994 | 7482 | 0.1492          | 0.0575 | 0.0491 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.3.1
- Datasets 2.19.2
- Tokenizers 0.20.1