speecht5_tts_finetuned_voxpopuli_lt

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

• Loss: 0.4692

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• 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: 50
• training_steps: 400
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.6225	7.02	100	0.5038
0.5198	15.01	200	0.4784
0.4946	23.0	300	0.4827
0.4796	30.02	400	0.4692

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.2
• Datasets 2.17.0
• Tokenizers 0.15.2