speecht5_finetuned_voxpopuli_fi

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

• Loss: 0.4489

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: 2
• total_train_batch_size: 16
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 250
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5539	1.4577	500	0.4861
0.5132	2.9155	1000	0.4683
0.5069	4.3732	1500	0.4607
0.4886	5.8309	2000	0.4555
0.495	7.2886	2500	0.4539
0.4846	8.7464	3000	0.4504
0.4843	10.2041	3500	0.4495
0.4932	11.6618	4000	0.4489

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3