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speecht5_GUIT_Final_Model_v1 – AI Model by kishorekashyap | AlphaNeural AI

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kishorekashyap/
speecht5_GUIT_Final_Model_v1

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microsoft/speecht5_tts

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speecht5_GUIT_Final_Model_v1

This model is a fine-tuned version of microsoft/speecht5_tts on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.4198
eval_runtime: 5.5205
eval_samples_per_second: 43.655
eval_steps_per_second: 11.05
epoch: 117.6471
step: 1000

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: 5e-05
train_batch_size: 32
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
training_steps: 3000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.43.1
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1