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

killynguyen/speecht5_finetuned_infore1_25hours

speecht5_finetuned_infore1_25hours

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

killynguyen/
speecht5_finetuned_infore1_25hours