speecht5_finetuned_Egyptian_ASR_MGB_3

OmarAladdin/speecht5_finetuned_Egyptian_ASR_MGB_3

speecht5_finetuned_Egyptian_ASR_MGB_3 is a text-to-audio model from OmarAladdin. 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: Oct 17, 2024
Updated: Oct 17, 2024
SHA: 808e5210

Base models

microsoft/speecht5_tts

Model card

From the Hugging Face model README

speecht5_finetuned_Egyptian_ASR_MGB_3

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: 0.4337

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
0.4991	3.2922	100	0.4705
0.4684	6.5844	200	0.4512
0.4566	9.8765	300	0.4388
0.4477	13.1687	400	0.4335
0.4456	16.4609	500	0.4337

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 17, 2024
Updated: Oct 17, 2024