speecht5_finetuned_mozilla_id

This model is a fine-tuned version of microsoft/speecht5_tts on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:

• Loss: 0.4394

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: 2
• seed: 42
• gradient_accumulation_steps: 2
• 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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5143	7.1429	1000	0.4605
0.4843	14.2857	2000	0.4482
0.4762	21.4286	3000	0.4401
0.484	28.5714	4000	0.4394

Framework versions

• Transformers 4.40.1
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1