zuazo/whisper-medium-ca

Whisper Medium Catalan

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

• Loss: 0.1434
• Wer: 5.9954

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: 64
• eval_batch_size: 32
• 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: 10000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1158	1.05	1000	0.1846	8.3630
0.0184	3.05	2000	0.2017	8.0629
0.0522	5.04	3000	0.1940	8.1177
0.0595	7.04	4000	0.1742	7.4696
0.0179	9.04	5000	0.1899	7.3095
0.0646	11.04	6000	0.1555	6.3441
0.0825	13.03	7000	0.1810	6.4841
0.0309	15.03	8000	0.1464	6.3544
0.0695	17.03	9000	0.1434	5.9954
0.0186	19.03	10000	0.1706	6.1097

Framework versions

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