speecht5_finetuned_multilingual_librispeech_pl

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

• Loss: 0.4168

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: 4000

Training results

Training Loss	Epoch	Step	Validation Loss
0.4564	40.82	1000	0.4182
0.4277	81.63	2000	0.4124
0.4233	122.45	3000	0.4173
0.4222	163.27	4000	0.4168

Framework versions

• Transformers 4.32.0.dev0
• Pytorch 2.0.1+cu117
• Datasets 2.13.1
• Tokenizers 0.13.3