README.md

metadata

license: mit
base_model: microsoft/speecht5_tts
tags:
  - generated_from_trainer
  - text-to-speech
datasets:
  - facebook/voxpopuli
model-index:
  - name: speecht5_finetuned_voxpopuli_nl
    results:
      - task:
          name: Text-to-Speech
          type: Text-to-Speech
        dataset:
          name: facebook/voxpopuli
          type: facebook/voxpopuli
        metrics:
          - name: loss
            type: loss
            value: 0.4568

speecht5_finetuned_voxpopuli_nl

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

• Loss: 0.4568

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: 500
• training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss
0.524	4.3	1000	0.4750
0.497	8.61	2000	0.4629
0.4925	12.91	3000	0.4587
0.4932	17.21	4000	0.4568

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.0
• Tokenizers 0.13.3