speecht5_finetuned_hy

This model is a fine-tuned version of microsoft/speecht5_tts on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4785

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: 125
  • training_steps: 1000

Training results

Training Loss Epoch Step Validation Loss
0.5547 2.04 250 0.4983
0.525 4.07 500 0.4864
0.52 6.11 750 0.4812
0.5286 8.15 1000 0.4785

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.0
  • Tokenizers 0.15.0
Downloads last month
36
Safetensors
Model size
144M params
Tensor type
F32
·
Inference Examples
Inference API (serverless) has been turned off for this model.

Model tree for Edmon02/speecht5_finetuned_hy

Finetuned
(855)
this model
Finetunes
1 model

Dataset used to train Edmon02/speecht5_finetuned_hy