---
language:
- multilingual
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
datasets:
- serge-wilson/wolof_speech_transcription
model-index:
- name: Wav2Vec2 Base Wolof
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Wav2Vec2 Base Wolof

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the serge-wilson/wolof_speech_transcription dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2953
- eval_wer: 0.3067
- eval_runtime: 153.1594
- eval_samples_per_second: 14.658
- eval_steps_per_second: 1.835
- epoch: 15.23
- step: 6000

## 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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 30

### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.14.0