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AllehellA/
whisper-small-nigerian-en

Name: whisper-small-nigerian-en
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whisper-small-nigerian-en

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 500
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer	Wer Normalized
7.2858	0.8040	100	0.3781	11.3985	7.2799
1.6666	1.6030	200	0.2012	9.3129	6.1221
0.4446	2.4020	300	0.1960	8.3751	5.4718
0.1887	3.2010	400	0.1917	8.2943	5.2181
0.1594	4.0	500	0.1933	7.9709	5.2498