michaelsh/speecht5_finetuned_voxpopuli_it

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: 0.4934

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: 8000

Training results

Training Loss	Epoch	Step	Validation Loss
0.5493	10.24	1000	0.5049
0.52	20.49	2000	0.4968
0.5082	30.73	3000	0.4883
0.5006	40.97	4000	0.4914
0.4954	51.22	5000	0.4910
0.4884	61.46	6000	0.4953
0.4845	71.7	7000	0.4939
0.4916	81.95	8000	0.4934

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3