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speecht5_finetuned_voxpopuli_sk

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metadata
language:
  - sk
license: mit
base_model: microsoft/speecht5_tts
tags:
  - generated_from_trainer
datasets:
  - facebook/voxpopuli
model-index:
  - name: speec T5 sk - Arslan Gabdulkhakov
    results: []
pipeline_tag: text-to-speech

speec T5 sk - Arslan Gabdulkhakov

This model is a fine-tuned version of microsoft/speecht5_tts on the Vox Populi SK dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4308

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: 2000

Training results

Training Loss Epoch Step Validation Loss
0.4723 32.0 1000 0.4360
0.4514 64.0 2000 0.4308

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.1
  • Tokenizers 0.13.3