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Librarian Bot: Add base_model information to model (#2)
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metadata
license: mit
tags:
  - generated_from_trainer
datasets:
  - voxpopuli
pipeline_tag: text-to-speech
base_model: microsoft/speecht5_tts
model-index:
  - name: speecht5_finetuned_facebook_voxpopuli_spanish
    results: []

speecht5_finetuned_facebook_voxpopuli_spanish

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: 0.4355

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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • 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: 100
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss
0.484 1.0 1074 0.4623
0.4724 2.0 2148 0.4542
0.4646 3.0 3222 0.4474
0.463 4.0 4296 0.4451
0.4538 5.0 5370 0.4425
0.4509 6.0 6444 0.4408
0.4548 7.0 7518 0.4412
0.4465 8.0 8592 0.4389
0.4509 9.0 9666 0.4387
0.4424 10.0 10740 0.4369
0.4415 11.0 11814 0.4367
0.4386 12.0 12888 0.4366
0.4383 13.0 13962 0.4357
0.4396 14.0 15036 0.4348
0.4432 15.0 16110 0.4358
0.4378 16.0 17184 0.4356
0.4321 17.0 18258 0.4353
0.4381 18.0 19332 0.4353
0.4325 19.0 20406 0.4347
0.4336 20.0 21480 0.4355

Framework versions

  • Transformers 4.30.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.13.1
  • Tokenizers 0.13.3