emirati

CarmelaFinianos/emirati

emirati is a text-to-audio model from CarmelaFinianos. 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: Nov 18, 2024
Updated: Nov 18, 2024
SHA: 20526034

Base models

microsoft/speecht5_tts

Model card

From the Hugging Face model README

emirati

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

Loss: 0.4792

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: 0.0001
train_batch_size: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 500
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4972	57.1429	100	0.4758
0.4412	114.2857	200	0.4692
0.4204	171.4286	300	0.4694
0.4036	228.5714	400	0.4770
0.3937	285.7143	500	0.4792

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3

Task: Text-to-Audio
Library: transformers
Type: speecht5
License: mit
Created: Nov 18, 2024
Updated: Nov 18, 2024