speecht5-ft-voxpopuli-nl

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

• Loss: 0.4540

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: 2
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• 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
0.5096	8.6	1000	0.4712
0.4863	17.2	2000	0.4594
0.4876	25.81	3000	0.4565
0.4791	34.41	4000	0.4540

Framework versions

• Transformers 4.39.2
• Pytorch 2.3.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1