metadata

license: apache-2.0
base_model: speechbrain/spkrec-xvect-voxceleb
tags:
  - generated_from_trainer
  - text-to-speech
datasets:
  - facebook/voxpopuli
model-index:
  - name: speecht5_finetuned_voxpopuli_en
    results:
      - task:
          name: Text To Speech
          type: text-to-speech
        dataset:
          name: facebook/voxpopuli
          type: facebook/voxpopuli
          config: all
          split: None
        metrics:
          - name: N/A
            type: N/A
            value: null

speecht5_finetuned_voxpopuli_en

This model is a fine-tuned version of speechbrain/spkrec-xvect-voxceleb on the facebook/voxpopuli dataset. It achieves the following results on the evaluation set:

Loss: 0.6952

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: 10
training_steps: 20

Training results

Training Loss	Epoch	Step	Validation Loss
0.7848	0.12	10	0.7479
0.7404	0.24	20	0.6952

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.1
Tokenizers 0.13.3