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

Loss: 1.1217
Wer: 65.9512

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: 1e-05
train_batch_size: 64
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 200
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.583	7.01	100	1.0822	67.3176
0.1146	14.02	200	1.1217	65.9512

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.8.1.dev0
Tokenizers 0.13.2

julie200/whisper-small-xh_za

Whisper Small Xhosa

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

julie200/
whisper-small-xh_za