whisper-small-hi-2400_500_101

This model is a fine-tuned version of saif-daoud/whisper-small-hi-2400_500_100 on the afrispeech-200 dataset. It achieves the following results on the evaluation set:

• Loss: 1.0512
• Wer: 0.3797

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-06
• 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: 200
• training_steps: 900
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
6.1955	0.17	150	1.0763	0.6285
4.0503	0.33	300	1.0923	0.4813
3.2324	1.17	450	1.0762	0.4159
2.974	1.33	600	1.0650	0.3963
2.6571	2.17	750	1.0542	0.3888
2.7691	2.33	900	1.0512	0.3797

Framework versions

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