metadata

library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
  - generated_from_trainer
  - text-to-speech
datasets:
  - facebook/voxpopuli
model-index:
  - name: speecht5_finetuned_voxpopuli_es
    results:
      - task:
          name: Text to Speech
          type: text-to-speech
        dataset:
          name: voxpopuli
          type: facebook/voxpopuli
        metrics:
          - name: Loss
            type: loss
            value: 0.4625

speecht5_finetuned_voxpopuli_es

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: 0.4625

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: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5118	2.3419	250	0.4745
0.501	4.6838	500	0.4680
0.4988	7.0258	750	0.4645
0.4945	9.3677	1000	0.4625

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Tokenizers 0.19.1