speecht5_sinhala_translit – AI Model by kavinda123321 | AlphaNeural AI

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kavinda123321/
speecht5_sinhala_translit

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microsoft/speecht5_tts

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speecht5_sinhala_translit

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: 0.4805

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: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4861	1.0	5	1.0841
1.1437	2.0	10	0.8159
0.6651	3.0	15	0.6642
0.5909	4.0	20	0.6525
0.648	5.0	25	0.5677
0.6085	6.0	30	0.5194
0.4603	7.0	35	0.4972
0.4198	8.0	40	0.5155
0.8207	9.0	45	0.5138
0.478	10.0	50	0.4805

Framework versions

Transformers 4.51.1
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1