zuazo/whisper-large-v3-gl

Whisper Large-V3 Galician

This model is a fine-tuned version of openai/whisper-large-v3 on the mozilla-foundation/common_voice_13_0 gl dataset. It achieves the following results on the evaluation set:

• Loss: 0.2940
• Wer: 5.0083

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: 32
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 20000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0176	5.0	1000	0.1563	5.2514
0.004	10.0	2000	0.1884	5.5653
0.0039	15.0	3000	0.2052	5.5377
0.0033	20.0	4000	0.2054	5.2997
0.0012	25.0	5000	0.2115	5.1031
0.001	30.0	6000	0.2195	5.2394
0.001	35.0	7000	0.2257	5.3446
0.001	40.0	8000	0.2178	5.4015
0.0008	45.0	9000	0.2250	5.4705
0.0008	50.0	10000	0.2320	5.2946
0.0002	55.0	11000	0.2368	5.3515
0.0	60.0	12000	0.2551	5.0997
0.0	65.0	13000	0.2634	5.0738
0.0	70.0	14000	0.2697	5.0359
0.0	75.0	15000	0.2752	5.0186
0.0	80.0	16000	0.2804	5.0066
0.0	85.0	17000	0.2852	4.9859
0.0	90.0	18000	0.2894	4.9893
0.0	95.0	19000	0.2927	5.0014
0.0	100.0	20000	0.2940	5.0083

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1