speecht5_finetuned_zh-TW

This model is a fine-tuned version of GCYY/speecht5_finetuned_fleurs_zh on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.5108

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss
0.5844	6.62	1000	0.5454
0.5495	13.25	2000	0.5215
0.5536	19.87	3000	0.5176
0.5257	26.49	4000	0.5108

Framework versions

• Transformers 4.33.3
• Pytorch 2.0.1
• Datasets 2.14.5
• Tokenizers 0.13.3