README.md

metadata

license: mit
base_model: microsoft/speecht5_tts
tags:
  - generated_from_trainer
datasets:
  - facebook/voxpopuli
model-index:
  - name: speecht5_tts-ft-voxpopuli-it
    results:
      - task:
          name: Text-to-Speech
          type: text-to-speech
        dataset:
          name: facebook/voxpopuli
          type: facebook/voxpopuli
          config: it
          split: train
          args: it
        metrics:
          - name: N.A.
            type: N.A.
            value: N.A.
language:
  - it

speecht5_tts-ft-voxpopuli-it

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: 0.5126

Model description

It uses the speaker embedding model speechbrain/spkrec-xvect-voxceleb

Intended uses & limitations

More information needed

Training and evaluation data

test_size=0.15

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: 4
• 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: 300
• training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss
0.6118	1.94	300	0.5508
0.5729	3.89	600	0.5204
0.563	5.83	900	0.5126

Framework versions

• Transformers 4.33.0
• Pytorch 1.12.1+cu116
• Datasets 2.14.4
• Tokenizers 0.12.1