zuazo/whisper-base-es

Whisper Base Spanish

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

• Loss: 0.3281
• Wer: 13.5312

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: 2.5e-05
• train_batch_size: 128
• eval_batch_size: 64
• 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
0.2173	4.0	1000	0.3409	14.8123
0.0955	8.01	2000	0.3377	15.4269
0.1647	12.01	3000	0.3393	14.5602
0.0986	16.01	4000	0.3281	13.5312
0.1272	20.02	5000	0.3423	13.7596

Framework versions

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