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speecht5_finetuned_hindi_syed_naqi – AI Model by naqi72 | AlphaNeural AI
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speecht5_finetuned_hindi_syed_naqi
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transformers
tensorboard
safetensors
speecht5
text-to-audio
tts
generated_from_trainer
microsoft/speecht5_tts
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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SyedNaqi_TechSpeechT5_TTS
This model is a fine-tuned version of
microsoft/speecht5_tts
on the TTS_English_data dataset. It achieves the following results on the evaluation set:
Loss: 0.4859
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: 2e-05
train_batch_size: 14
eval_batch_size: 10
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 1500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.5661
4.3353
500
0.5135
0.5339
8.6705
1000
0.4927
0.5155
13.0058
1500
0.4859
Framework versions
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1
