speecht5_finetuned_aman_bh

amanhg786/speecht5_finetuned_aman_bh

speecht5_finetuned_aman_bh is a machine learning model from amanhg786. 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: Mar 9, 2026
Updated: Mar 9, 2026
SHA: 223b6c95

Base models

microsoft/speecht5_tts

Model card

From the Hugging Face model README

speecht5_finetuned_aman_bh

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: 0.3240

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
0.5156	0.4545	100	0.4441
0.4249	0.9091	200	0.3768
0.3877	1.3636	300	0.3464
0.3604	1.8182	400	0.3390
0.3518	2.2727	500	0.3240

Framework versions

Transformers 4.41.2
Pytorch 2.10.0+cu128
Datasets 3.2.0
Tokenizers 0.19.1

Type: speecht5
License: mit
Created: Mar 9, 2026
Updated: Mar 9, 2026