Mpendulo
/

dsn_afrispeech

Automatic Speech Recognition Transformers TensorBoard Safetensors

English whisper hf-asr-leaderboard generated_from_trainer Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

Edit model card

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Whisper Small En - Mpendulo_Lukhele

This model is a fine-tuned version of openai/whisper-small on the AfriSpeech dataset. It achieves the following results on the evaluation set:

eval_loss: 3.6218
eval_wer: 48.2933
eval_runtime: 1524.348
eval_samples_per_second: 1.968
eval_steps_per_second: 0.246
step: 0

Model description

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: 1e-05
train_batch_size: 8
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: 8
training_steps: 10
mixed_precision_training: Native AMP

Framework versions

Transformers 4.38.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.1

Downloads last month: 0

Safetensors

Model size

242M params

Tensor type

F32

·

Finetuned from

Dataset used to train Mpendulo/dsn_afrispeech

Space using Mpendulo/dsn_afrispeech 1

Evaluation results

Metadata error: specify a dataset to view leaderboard