speecht5_finetuned_hindi_mono

clayton07/speecht5_finetuned_hindi_mono

speecht5_finetuned_hindi_mono is a machine learning model from clayton07. 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: Oct 20, 2024
Updated: Nov 12, 2024
SHA: 5225c5c1

Base models

microsoft/speecht5_tts

Model card

From the Hugging Face model README

speecht5_finetuned_hindi_mono

This model is a fine-tuned version of microsoft/speecht5_tts on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4357

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
0.5391	4.3549	1000	0.4788
0.4991	8.7099	2000	0.4492
0.4851	13.0648	3000	0.4367
0.4859	17.4197	4000	0.4357

Framework versions

Transformers 4.43.3
Pytorch 2.4.0+cu118
Datasets 3.0.1
Tokenizers 0.19.1

Type: speecht5
License: mit
Created: Oct 20, 2024
Updated: Nov 12, 2024