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speecht5_tts_nepali_oslr43_tokenizermodified_swos – AI Model by aryamanstha | AlphaNeural AI
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aryamanstha
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speecht5_tts_nepali_oslr43_tokenizermodified_swos
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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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speecht5_tts_nepali_oslr43_tokenizermodified_swos
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: 0.5046
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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.564
9.57
1000
0.5187
0.5385
19.14
2000
0.5063
0.5213
28.71
3000
0.5034
0.5171
38.28
4000
0.5048
0.4989
47.85
5000
0.5046
Framework versions
Transformers 4.40.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
