metadata

license: mit
base_model: microsoft/speecht5_tts
tags:
  - generated_from_trainer
datasets:
  - facebook/voxpopuli
model-index:
  - name: speecht5_finetuned_voxpopuli_fr
    results:
      - task:
          name: Text to Speech
          type: text-to-sppeech
        metrics:
          - name: MOS
            type: mos
            value: 0
language:
  - fr
pipeline_tag: text-to-speech

speecht5_finetuned_voxpopuli_fr

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: 0.5727

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: 50
training_steps: 400

Training results

Training Loss	Epoch	Step	Validation Loss
0.6151	34.01	100	0.6893
0.5422	69.0	200	0.5647
0.5241	104.0	300	0.5541
0.5165	139.0	400	0.5727

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3