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speecht5_finetuned_hindi_mono – AI Model by clayton07 | AlphaNeural AI
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speecht5_finetuned_hindi_mono
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tensorboard
safetensors
speecht5
generated_from_trainer
microsoft/speecht5_tts
finetune
mit
us
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speecht5_finetuned_hindi_mono
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: 0.4357
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: 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: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.5391
4.3549
1000
0.4788
0.4991
8.7099
2000
0.4492
0.4851
13.0648
3000
0.4367
0.4859
17.4197
4000
0.4357
Framework versions
Transformers 4.43.3
Pytorch 2.4.0+cu118
Datasets 3.0.1
Tokenizers 0.19.1
