whisper_small_tw12

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

• Loss: 3.3399
• Wer: 1.1037

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: 6.25e-06
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 200
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.0649	6.25	100	3.2733	1.5726
0.9932	12.5	200	2.9873	1.9378
0.0521	18.75	300	3.0893	1.1203
0.0045	25.0	400	3.2862	1.1245
0.0025	31.25	500	3.3399	1.1037

Framework versions

• Transformers 4.34.0.dev0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.0