speecht5_finetuned_voxpopuli_fi

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: 0.4599

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: 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: 500
• training_steps: 2000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.679	4.0	200	0.5742
0.5413	8.0	400	0.4974
0.5076	12.0	600	0.4805
0.5097	16.0	800	0.4743
0.4837	20.0	1000	0.4655
0.4913	24.0	1200	0.4639
0.4777	28.0	1400	0.4632
0.484	32.0	1600	0.4623
0.4788	36.0	1800	0.4608
0.4711	40.0	2000	0.4599

Framework versions

• Transformers 4.54.1
• Pytorch 2.7.1+cu126
• Datasets 3.6.0
• Tokenizers 0.21.4