speecht5_finetuned_librispeech_pl

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

• Loss: 0.3790

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: 3e-05
• train_batch_size: 8
• eval_batch_size: 2
• 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: 500
• training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss
0.4341	3.75	1000	0.3954
0.4166	7.5	2000	0.3866
0.4132	11.25	3000	0.3805
0.4078	15.0	4000	0.3790

Framework versions

• Transformers 4.31.0
• Pytorch 1.13.0+cu117
• Datasets 2.13.1
• Tokenizers 0.11.6