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: 0.4692

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
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: 50
training_steps: 400
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.6225	7.02	100	0.5038
0.5198	15.01	200	0.4784
0.4946	23.0	300	0.4827
0.4796	30.02	400	0.4692

Framework versions

Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.17.0
Tokenizers 0.15.2

jaymanvirk/speecht5_tts_finetuned_voxpopuli_lt

speecht5_tts_finetuned_voxpopuli_lt

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jaymanvirk/
speecht5_tts_finetuned_voxpopuli_lt