speecht5_finetuned_igbo

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: 0.6538

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: 2
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
0.8661	0.1778	100	0.7291
0.7864	0.3556	200	0.7310
0.7416	0.5333	300	0.6759
0.7474	0.7111	400	0.6616
0.7017	0.8889	500	0.6538

Framework versions

• Transformers 4.56.2
• Pytorch 2.8.0+cu126
• Datasets 4.2.0
• Tokenizers 0.22.1