tyty979812/nan-tw-whisper-medium

Whisper medium nan-tw

This model is a fine-tuned version of openai/whisper-medium on the Common Voice 16.0 dataset. It achieves the following results on the evaluation set:

• Loss: 1.0525
• Wer: 100.1779

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: 16
• eval_batch_size: 8
• 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: 5000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.182	3.05	1000	0.9951	100.5780
0.0087	6.1	2000	1.0259	100.0889
0.004	9.15	3000	1.0234	100.0445
0.0002	12.2	4000	1.0484	100.1334
0.0002	15.24	5000	1.0525	100.1779

Framework versions

• Transformers 4.37.1
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1