zuazo/whisper-large-ca

Whisper Large Catalan

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

• Loss: 0.1458
• Wer: 5.0700

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

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1059	1.02	1000	0.1744	7.6342
0.0159	3.02	2000	0.1943	7.3850
0.0526	5.02	3000	0.1899	6.8522
0.058	7.02	4000	0.1782	6.7802
0.0161	9.02	5000	0.1995	6.6339
0.065	11.02	6000	0.1563	6.4544
0.082	13.02	7000	0.1789	6.0309
0.0339	15.02	8000	0.1509	5.7554
0.0581	17.01	9000	0.1573	6.0446
0.0181	19.01	10000	0.1838	5.5913
0.0188	21.01	11000	0.1610	5.4804
0.0134	23.01	12000	0.1821	5.3953
0.008	25.01	13000	0.1748	5.3804
0.0071	27.01	14000	0.1858	5.4701
0.0371	29.01	15000	0.1610	5.6599
0.0076	31.01	16000	0.1571	5.1655
0.0181	33.01	17000	0.1449	5.4558
0.0522	35.0	18000	0.1340	5.8388
0.0356	37.0	19000	0.1458	5.0700
0.0132	39.0	20000	0.1310	5.1941

Framework versions

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