speecht5_finetuned_ndizi_SW_v3

Lawrence/speecht5_finetuned_ndizi_SW_v3

speecht5_finetuned_ndizi_SW_v3 is a machine learning model from Lawrence. 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. --

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At a glance

License: mit
Model type: speecht5
Access: Public
Created: Sep 19, 2024
Updated: Sep 19, 2024
SHA: 4fb58cad

Base models

microsoft/speecht5_tts

Model card

From the Hugging Face model README

speecht5_finetuned_ndizi_SW_v3

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: 0.7063

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: 1e-05
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: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.799	12.2511	1000	0.7531
0.7652	24.5023	2000	0.7207
0.7553	36.7534	3000	0.7102
0.7642	49.0046	4000	0.7063

Framework versions

Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1

Type: speecht5
License: mit
Created: Sep 19, 2024
Updated: Sep 19, 2024