speecht5_finetuned_techincal_data_V2

Niha14/speecht5_finetuned_techincal_data_V2

speecht5_finetuned_techincal_data_V2 is a text-to-audio model from Niha14. 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 21, 2024
Updated: Oct 21, 2024
SHA: d3da1823

Base models

microsoft/speecht5_tts

Model card

From the Hugging Face model README

speecht5_finetuned_techincal_data_V2

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: 0.5229

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
0.5483	5.7143	100	0.5141
0.4836	11.4286	200	0.5088
0.4598	17.1429	300	0.5061
0.4364	22.8571	400	0.5245
0.4275	28.5714	500	0.5229

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0

Task: Text-to-Audio
Library: transformers
Type: speecht5
License: mit
Created: Oct 21, 2024
Updated: Oct 21, 2024