deepdml/whisper-small-mix-en

Whisper small mixed-English

This model is a fine-tuned version of openai/whisper-small on the "en" datasets:

• mozilla-foundation/common_voice_17_0
• google/fleurs
• facebook/voxpopuli

It achieves the following results on the evaluation set:

• Loss: 0.3741
• Wer: 13.5791

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: 16
• 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: 5000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2018	0.2	1000	0.3925	14.4841
0.1553	0.4	2000	0.3887	14.0259
0.1545	0.6	3000	0.3805	14.0316
0.1223	0.8	4000	0.3776	13.6450
0.131	1.0	5000	0.3741	13.5791

Framework versions

• Transformers 4.42.0.dev0
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1