speecht5_finetuned_infore1_25hours

This model is a fine-tuned version of microsoft/speecht5_tts on the doof-ferb/infore1_25hours dataset. It achieves the following results on the evaluation set:

• Loss: 0.4221

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: Use adamw_torch 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: 500
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4904	2.3761	1000	0.4506
0.4656	4.7522	2000	0.4351
0.4594	7.1262	3000	0.4258
0.458	9.5022	4000	0.4221

Framework versions

• Transformers 4.47.0
• Pytorch 2.5.1+cu121
• Datasets 3.3.1
• Tokenizers 0.21.0