speecht5_azerconnect

Ramal1/speecht5_azerconnect

speecht5_azerconnect is a machine learning model from Ramal1. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.

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

Downloads · 30 days

42% of all-time downloads

All-time downloads

Public

Parameters

144M

2.3 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors578 MB · 100%

At a glance

License: mit
Model type: speecht5
Access: Public
Created: May 8, 2025
Updated: May 8, 2025
SHA: 3a9e660e

Base models

microsoft/speecht5_tts

Model card

From the Hugging Face model README

speecht5_azerconnect

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: 0.5560

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
0.7315	0.0848	100	0.6580
0.6603	0.1696	200	0.6081
0.634	0.2544	300	0.5827
0.6136	0.3392	400	0.5633
0.6034	0.4240	500	0.5560

Framework versions

Transformers 4.42.4
Pytorch 2.7.0+cpu
Datasets 3.5.1
Tokenizers 0.19.1

Type: speecht5
License: mit
Created: May 8, 2025
Updated: May 8, 2025