library_name, language, license, base_model, tags, datasets, metrics, model-index

library_name	language	license	base_model	tags	datasets	metrics	model-index
transformers	es	apache-2.0	openai/whisper-small	generated_from_trainer	ylacombe/google-chilean-spanish	wer	name results Whisper Small ES-CL - Roberto Castro-Vexler task dataset metrics name type Automatic Speech Recognition automatic-speech-recognition name type args OpenSLR Chilean Spanish ylacombe/google-chilean-spanish config: es-cl, split: test name type value Wer wer 5.930960948953752

Whisper Small ES-CL - Roberto Castro-Vexler

This model is a fine-tuned version of openai/whisper-small on the OpenSLR Chilean Spanish dataset. It achieves the following results on the evaluation set:

• Loss: 0.1552
• Wer: 5.9310

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: 16
• eval_batch_size: 8
• 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: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0038	8.6207	1000	0.1381	6.1975
0.0002	17.2414	2000	0.1466	5.8510
0.0001	25.8621	3000	0.1528	5.9709
0.0001	34.4828	4000	0.1552	5.9310

Framework versions

• Transformers 4.45.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.20.1