This model is a fine-tuned version of Wellyowo/whisper-tiny-zh-tw on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.5531
Wer Ortho: 61.0
Wer: 61.1650

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.0087	0.6882	500	0.5531	61.0	61.1650

Framework versions

Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

uwwee/whisper-tiny-zh-tw

whisper-tiny-zh-tw

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

uwwee/
whisper-tiny-zh-tw