metadata

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: []

Wav2Vec2 Base Wolof

This model is a fine-tuned version of 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