whisper-base-cs-cv11-timestetch02-gain01-pitch02-gaussian02-lowpass01-timemask50-freqmask50

This model is a fine-tuned version of openai/whisper-base on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.4240
• Wer: 42.6640

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• 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
1.5795	0.72	1000	0.5715	52.0039
1.3147	1.44	2000	0.4734	46.0014
1.1304	2.17	3000	0.4346	43.5205
1.1056	2.89	4000	0.4240	42.6640

Framework versions

• Transformers 4.38.0
• Pytorch 2.2.0+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2