zuazo/whisper-medium-gl

Whisper Medium Galician

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

• Loss: 0.3196
• Wer: 7.1227

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
0.0124	4.02	1000	0.2194	7.5383
0.0027	9.02	2000	0.2400	7.3382
0.0019	14.02	3000	0.2426	7.4055
0.0011	19.02	4000	0.2689	7.3520
0.0014	24.02	5000	0.2849	7.5314
0.0004	29.02	6000	0.2932	7.2589
0.0001	34.02	7000	0.3069	7.1485
0.0001	39.02	8000	0.3143	7.1485
0.0001	44.02	9000	0.3196	7.1227
0.0001	49.02	10000	0.3218	7.1244

Framework versions

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