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