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mabama-tts-es – AI Model by ovieyra21 | AlphaNeural AI

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mabama-tts-es

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ovieyra21/mabama-v4

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mabama-tts-v1

This model is a fine-tuned version of microsoft/speecht5_tts on the mabama-v4 dataset.

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: 4000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.28.0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.13.3 Download them in the Files & versions tab.