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

Sagicc/speecht5_finetuned_multilingual_librispeech_pl

speecht5_finetuned_multilingual_librispeech_pl

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Sagicc/
speecht5_finetuned_multilingual_librispeech_pl