checkpoint – AI Model by setthika | AlphaNeural AI

You can deploy this model and start earning money today!

setthika/
checkpoint

like

0

generated_from_trainer

microsoft/speecht5_tts

endpoints_compatible

Views

No views yet

checkpoint

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

Loss: 0.4609

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 900
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4918	0.7188	100	0.4853
0.4883	1.4313	200	0.4813
0.468	2.1438	300	0.4766
0.4826	2.8625	400	0.4665
0.4843	3.5750	500	0.4688
0.4743	4.2875	600	0.4632
0.4607	5.0	700	0.4627
0.4699	5.7188	800	0.4623
0.4668	6.4313	900	0.4609

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1