jonatasgrosman/whisper-small-pt-cv11-v5

Whisper Small Portuguese

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

• Loss: 0.3056
• Wer: 14.6841
• Cer: 5.8856

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: 5e-06
• train_batch_size: 32
• 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: 1000
• training_steps: 10000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.2817	0.92	500	0.3352	15.9476	6.3609
0.2245	1.84	1000	0.3047	15.0231	5.9326
0.1587	2.76	1500	0.2985	15.0847	5.9326
0.1181	3.68	2000	0.3056	14.6841	5.8856
0.0741	4.6	2500	0.3162	14.9923	5.9906
0.0438	5.52	3000	0.3466	15.4700	6.2255
0.0294	6.45	3500	0.3799	15.2234	6.1647

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.12.1+cu116
• Datasets 2.7.1.dev0
• Tokenizers 0.13.2