metadata

license: mit
tags:
  - generated_from_trainer
  - text-to-speech
datasets:
  - facebook/voxpopuli
model-index:
  - name: michaelsh/speecht5_finetuned_voxpopuli_it
    results:
      - task:
          name: Text To Speech
          type: text-to-speech
        dataset:
          name: facebook/voxpopuli
          type: facebook/voxpopuli
          config: en-US
          split: train
          args: it
        metrics:
          - name: MSE
            type: mse
            value: 0.4934

michaelsh/speecht5_finetuned_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: 0.4934

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: 8000

Training results

Training Loss	Epoch	Step	Validation Loss
0.5493	10.24	1000	0.5049
0.52	20.49	2000	0.4968
0.5082	30.73	3000	0.4883
0.5006	40.97	4000	0.4914
0.4954	51.22	5000	0.4910
0.4884	61.46	6000	0.4953
0.4845	71.7	7000	0.4939
0.4916	81.95	8000	0.4934

Framework versions

Transformers 4.30.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3