zuazo/whisper-small-es

Whisper Small Spanish

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

• Loss: 0.2212
• Wer: 8.2668

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: 5000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.132	2.0	1000	0.2461	9.5267
0.1288	4.01	2000	0.2251	8.5215
0.0814	6.01	3000	0.2212	8.2668
0.0905	8.01	4000	0.2310	8.4997
0.0319	10.02	5000	0.2358	8.5343

Framework versions

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