speecht5_tts-finetuned-voxpopuli-en

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: 0.4689

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: 4
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 8
  • 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: 100
  • training_steps: 2000

Training results

Training Loss Epoch Step Validation Loss
0.5015 2.8 500 0.4735
0.4955 5.6 1000 0.4709
0.4954 8.4 1500 0.4694
0.4893 11.2 2000 0.4689

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.3
  • Tokenizers 0.13.3
Downloads last month
85
Safetensors
Model size
144M params
Tensor type
F32
·
Inference Providers NEW
This model is not currently available via any of the supported third-party Inference Providers, and the model is not deployed on the HF Inference API.