speecht5_mehdi_asm

kingmhd1519/speecht5_mehdi_asm

speecht5_mehdi_asm is a text-to-audio model from kingmhd1519. 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: Dec 9, 2024
Updated: Dec 10, 2024
SHA: d56aae9c

Base models

microsoft/speecht5_tts

Model card

From the Hugging Face model README

speecht5_mehdi_asm

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: 0.4979

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: 300
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.6382	3.5556	100	0.5548
0.5445	7.1111	200	0.5142
0.5188	10.6667	300	0.4979

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3

Task: Text-to-Audio
Library: transformers
Type: speecht5
License: mit
Created: Dec 9, 2024
Updated: Dec 10, 2024