speecht5_finetuned_voxpopuli_si

Melanija/speecht5_finetuned_voxpopuli_si

speecht5_finetuned_voxpopuli_si is a machine learning model from Melanija. 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: Aug 21, 2024
Updated: Aug 21, 2024
SHA: 2782a846

Base models

microsoft/speecht5_tts

Model card

From the Hugging Face model README

speecht5_finetuned_voxpopuli_si

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: 0.4562

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
0.4965	21.6802	1000	0.4634
0.4671	43.3604	2000	0.4564
0.4562	65.0407	3000	0.4542
0.4596	86.7209	4000	0.4562

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Tokenizers 0.19.1

Type: speecht5
License: mit
Created: Aug 21, 2024
Updated: Aug 21, 2024