xezpeleta/whisper-tiny-eu

Whisper Tiny Basque

This model is a fine-tuned version of openai/whisper-tiny on the asierhv/composite_corpus_eu_v2.1 dataset. It achieves the following results on the evaluation set:

• Loss: 0.3719
• Wer: 14.8495

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: 32
• eval_batch_size: 16
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• training_steps: 10000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.586	0.1	1000	0.6249	34.1639
0.3145	0.2	2000	0.5048	25.2591
0.225	0.3	3000	0.4839	22.0557
0.3003	0.4	4000	0.4540	20.3072
0.132	0.5	5000	0.4574	19.0146
0.1588	0.6	6000	0.4380	17.8219
0.1841	0.7	7000	0.4395	16.6667
0.143	0.8	8000	0.3719	15.4490
0.0967	0.9	9000	0.3685	15.1368
0.1059	1.0	10000	0.3719	14.8495

Framework versions

• Transformers 4.49.0.dev0
• Pytorch 2.6.0+cu124
• Datasets 3.3.1.dev0
• Tokenizers 0.21.0