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: 0.4830

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: 250
training_steps: 2500

Training results

Training Loss	Epoch	Step	Validation Loss
0.5689	2.68	250	0.5361
0.5153	5.35	500	0.5024
0.5044	8.03	750	0.4942
0.4934	10.71	1000	0.4915
0.4906	13.39	1250	0.4853
0.4886	16.06	1500	0.4868
0.4886	18.74	1750	0.4842
0.4812	21.42	2000	0.4849
0.4824	24.1	2250	0.4836
0.48	26.77	2500	0.4830

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Adbhut/speecht5-finetuned-voxpopuli_sl

speecht5-finetuned-voxpopuli_sl

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Adbhut/
speecht5-finetuned-voxpopuli_sl