This model is a fine-tuned version of microsoft/speecht5_tts on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.5641

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: 0.0001
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: 100
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.7879	0.3972	100	0.6982
0.7078	0.7944	200	0.6603
0.6728	1.1917	300	0.6420
0.646	1.5889	400	0.5979
0.6276	1.9861	500	0.5954
0.6213	2.3833	600	0.5852
0.6161	2.7805	700	0.5805
0.6043	3.1778	800	0.5701
0.6012	3.5750	900	0.5624
0.5951	3.9722	1000	0.5641

Framework versions

Transformers 4.44.2
Pytorch 2.3.0+cu118
Datasets 3.0.0
Tokenizers 0.19.1

MohsenABG/speecht5_finetuned_emirhan_tr

speecht5_finetuned_emirhan_tr

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MohsenABG/
speecht5_finetuned_emirhan_tr