zuazo/whisper-tiny-es

Whisper Tiny Spanish

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

• Loss: 0.4218
• Wer: 19.5904

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: 3.75e-05
• train_batch_size: 256
• eval_batch_size: 128
• 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
0.1801	8.0	1000	0.4318	22.1861
0.1627	16.01	2000	0.4218	19.5904
0.0691	24.01	3000	0.4374	20.7170
0.0124	32.01	4000	0.4635	20.0459
0.0129	40.02	5000	0.4568	20.4135

Framework versions

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