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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_french
    results: []

speecht5_finetuned_facebook_voxpopuli_french

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: 0.4379

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: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • 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: 30

Training results

Training Loss Epoch Step Validation Loss
0.4872 1.0 1584 0.4663
0.4656 2.0 3168 0.4642
0.4686 3.0 4752 0.4533
0.4576 4.0 6336 0.4479
0.4658 5.0 7920 0.4485
0.4536 6.0 9504 0.4443
0.4559 7.0 11088 0.4426
0.449 8.0 12672 0.4410
0.4469 9.0 14256 0.4420
0.4565 10.0 15840 0.4402
0.4428 11.0 17424 0.4470
0.4412 12.0 19008 0.4400
0.4437 13.0 20592 0.4396
0.4395 14.0 22176 0.4385
0.4461 15.0 23760 0.4407
0.4401 16.0 25344 0.4387
0.4407 17.0 26928 0.4379
0.4359 18.0 28512 0.4384
0.4338 19.0 30096 0.4387
0.4326 20.0 31680 0.4381
0.4406 21.0 33264 0.4390
0.437 22.0 34848 0.4387
0.4357 23.0 36432 0.4389
0.4309 24.0 38016 0.4387
0.441 25.0 39600 0.4379
0.4355 26.0 41184 0.4378
0.4312 27.0 42768 0.4380
0.4328 28.0 44352 0.4388
0.4289 29.0 45936 0.4380
0.4291 30.0 47520 0.4379

Framework versions

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