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speecht5_finetuned_voxpopuli_lt – AI Model by Abhinay45 | AlphaNeural AI
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speecht5_finetuned_voxpopuli_lt
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
text-to-speech
facebook/voxpopuli
microsoft/speecht5_tts
finetune
mit
model-index
endpoints_compatible
us
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speec T5 LT - Abhinay Poloju
This model is a fine-tuned version of
microsoft/speecht5_tts
on the Vox Populi LT dataset. It achieves the following results on the evaluation set:
Loss: 0.4718
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: 8
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
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
0.4717
125.0
1000
0.4747
0.4543
250.0
2000
0.4715
0.4451
375.0
3000
0.4734
0.4417
500.0
4000
0.4718
Framework versions
Transformers 4.41.0.dev0
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.19.1
