deepdml/whisper-small-mix-es

Whisper Small Mixed-Spanish

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

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

It achieves the following results on the evaluation set:

• Loss: 0.1809
• Wer: 8.6345

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: 8
• 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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.247	0.2	1000	0.2160	10.3975
0.1337	0.4	2000	0.2010	9.6749
0.1401	0.6	3000	0.1905	9.0946
0.1714	0.8	4000	0.1849	8.8550
0.1046	1.0	5000	0.1809	8.6345

Framework versions

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