Edit model card

SpeechT5 TTS Slovak v3

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: 0.4046

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: 32
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • 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: 10000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.5259 3.2258 500 0.4625
0.4823 6.4516 1000 0.4345
0.4702 9.6774 1500 0.4258
0.4502 12.9032 2000 0.4189
0.4579 16.1290 2500 0.4173
0.4418 19.3548 3000 0.4134
0.448 22.5806 3500 0.4117
0.4467 25.8065 4000 0.4094
0.4388 29.0323 4500 0.4084
0.4327 32.2581 5000 0.4071
0.4398 35.4839 5500 0.4069
0.4381 38.7097 6000 0.4065
0.4357 41.9355 6500 0.4053
0.4352 45.1613 7000 0.4059
0.4298 48.3871 7500 0.4050
0.4293 51.6129 8000 0.4043
0.4342 54.8387 8500 0.4050
0.4309 58.0645 9000 0.4045
0.4277 61.2903 9500 0.4047
0.4319 64.5161 10000 0.4046

Framework versions

  • Transformers 4.42.0.dev0
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
Downloads last month
5
Safetensors
Model size
144M params
Tensor type
F32
·

Finetuned from

Dataset used to train vsisik/speecht5_tts_SK_v3