SpeechT5_Finetuned_Hindi_Naqi – AI Model by naqi72 | AlphaNeural AI

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naqi72/
SpeechT5_Finetuned_Hindi_Naqi

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microsoft/speecht5_tts

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speecht5_finetuned_rohit_hindi

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: 0.6190

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: 100
training_steps: 800
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.7704	0.2944	100	1.3052
1.0046	0.5889	200	0.8179
0.8288	0.8833	300	0.7114
0.7703	1.1778	400	0.6793
0.7269	1.4722	500	0.6498
0.7226	1.7667	600	0.6314
0.6933	2.0611	700	0.6219
0.6862	2.3555	800	0.6190

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.19.1