zuazo/whisper-medium-es

Whisper Medium Spanish

This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common_voice_13_0 es dataset. It achieves the following results on the evaluation set:

• Loss: 0.1915
• Wer: 5.4088

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: 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: 10000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0917	2.0	1000	0.1944	6.8560
0.0927	4.0	2000	0.1817	6.1439
0.0456	6.01	3000	0.1805	6.2626
0.0343	8.01	4000	0.2097	6.1773
0.0046	10.01	5000	0.2292	5.9374
0.0829	12.01	6000	0.1814	6.0644
0.0021	14.01	7000	0.2318	5.7096
0.0288	16.01	8000	0.1871	5.5755
0.1297	18.02	9000	0.1831	5.6885
0.0377	20.02	10000	0.1915	5.4088

Framework versions

• Transformers 4.33.0.dev0
• Pytorch 2.0.1+cu117
• Datasets 2.14.4
• Tokenizers 0.13.3