speecht5_finetuned_roman_ur

EhsanElahi/speecht5_finetuned_roman_ur

speecht5_finetuned_roman_ur is a text-to-audio model from EhsanElahi. Use it for the text-to-audio task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text-to-Audio
Library: transformers
License: mit
Model type: speecht5
Access: Public
Created: Jul 17, 2023
Updated: Jul 18, 2023
SHA: 32278001

Datasets

common_voice_13_0

Model card

From the Hugging Face model README

speecht5_finetuned_roman_ur

This model is a fine-tuned version of EhsanElahi/speecht5_finetuned_voxpopuli_nl on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.4980

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: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 1024
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
0.5267	13.56	50	0.4973
0.5245	27.12	100	0.4980

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Text-to-Audio
Library: transformers
Type: speecht5
License: mit
Created: Jul 17, 2023
Updated: Jul 18, 2023