speecht5-finetuned-tr

yusuf-eren/speecht5-finetuned-tr

speecht5-finetuned-tr is a text-to-audio model from yusuf-eren. 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. --

Downloads · 30 days

1% of all-time downloads

All-time downloads

184

Public

Parameters

144M

5.8 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors578 MB · 100%

At a glance

Task: Text-to-Audio
Library: transformers
License: mit
Model type: speecht5
Access: Public
Created: Oct 20, 2024
Updated: Oct 20, 2024
SHA: cbfd3654

Base models

microsoft/speecht5_tts

Model card

From the Hugging Face model README

speecht5_finetuned_emirhan_tr

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: 0.4723

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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
0.524	16.6667	100	0.4861
0.4409	33.3333	200	0.4647
0.4086	50.0	300	0.4791
0.3914	66.6667	400	0.4785
0.379	83.3333	500	0.4723

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

Task: Text-to-Audio
Library: transformers
Type: speecht5
License: mit
Created: Oct 20, 2024
Updated: Oct 20, 2024