zuazo/whisper-large-es

Whisper Large Spanish

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

• Loss: 0.2663
• Wer: 5.1265

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
0.0834	2.0	1000	0.1862	6.3852
0.0871	4.0	2000	0.1777	5.9175
0.039	6.0	3000	0.1780	5.7423
0.0265	8.0	4000	0.2121	5.7744
0.0059	10.0	5000	0.2219	5.8097
0.0855	12.01	6000	0.1839	5.9778
0.0037	14.01	7000	0.2273	5.8565
0.0293	16.01	8000	0.1965	5.8078
0.1174	18.01	9000	0.1984	5.8893
0.0355	20.01	10000	0.2136	5.8662
0.0279	22.01	11000	0.1882	5.4960
0.0043	24.01	12000	0.2444	5.3356
0.0302	26.01	13000	0.2223	5.4620
0.0011	28.01	14000	0.2603	5.5608
0.001	30.01	15000	0.2452	5.3087
0.0003	32.01	16000	0.2573	5.3523
0.0004	34.02	17000	0.2690	5.2952
0.0013	36.02	18000	0.2373	5.1438
0.0004	38.02	19000	0.2618	5.1361
0.0004	40.02	20000	0.2663	5.1265

Framework versions

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