dsn_afrispeech

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

• Loss: 0.7122
• Wer: 40.2191

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: 32
• 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: 500
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.9597	0.4	500	0.9808	52.4616
0.8161	0.81	1000	0.8366	43.4443
0.6999	1.21	1500	0.7818	43.4467
0.6235	1.61	2000	0.7511	40.5909
0.5772	2.02	2500	0.7301	42.0866
0.5506	2.42	3000	0.7210	41.3731
0.5525	2.82	3500	0.7144	40.6223
0.5081	3.23	4000	0.7122	40.2191

Framework versions

• Transformers 4.29.0.dev0
• Pytorch 2.0.0
• Datasets 2.11.0
• Tokenizers 0.13.3