---
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
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-xls-r-300m-swahili-cv-fleurs-alffa-word
  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-swahili-cv-fleurs-alffa-word

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: 0.2057
- Wer: 0.2194
- Cer: 0.1098

## 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: 5.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 0.3702        | 1.0   | 1961 | 0.2878          | 0.3335 | 0.1367 |
| 0.2333        | 2.0   | 3922 | 0.2324          | 0.2653 | 0.1219 |
| 0.172         | 3.0   | 5883 | 0.2136          | 0.2464 | 0.1162 |
| 0.1331        | 4.0   | 7844 | 0.2043          | 0.2287 | 0.1127 |
| 0.1018        | 5.0   | 9805 | 0.2057          | 0.2194 | 0.1098 |


### Framework versions

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