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diirow_tts – AI Model by Somali-tts | AlphaNeural AI
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Somali-tts
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diirow_tts
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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diirow_tts
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: 0.4522
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: 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: 100
training_steps: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.5191
3.5872
100
0.4912
0.4776
7.1468
200
0.4628
0.4591
10.7339
300
0.4604
0.4444
14.2936
400
0.4524
0.4363
17.8807
500
0.4522
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
