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Ru3ll/
dsn_afrispeech-shuffle

Name: dsn_afrispeech-shuffle
Availability: InStock

automatic-speech-recognition

hf-asr-leaderboard

generated_from_trainer

tobiolatunji/afrispeech-200

model-index

endpoints_compatible

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Ru3ll/dsn_afrispeech3

This model is a fine-tuned version of ru3ll/dsn_afrispeech2/whisper-small on the Afrispeech-200 dataset. It achieves the following results on the evaluation set:

Loss: 0.5952
Wer: 23.8251

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: 3.46e-06
train_batch_size: 8
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
training_steps: 498
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.6516	0.5	249	0.6065	23.3294
0.8152	1.0	498	0.5952	23.8251

Framework versions

Transformers 4.28.0.dev0
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Ru3ll/dsn_afrispeech-shuffle

Ru3ll/dsn_afrispeech3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Ru3ll/
dsn_afrispeech-shuffle