speecht5_finetuned_German_dataset – AI Model by tdnathmlenthusiast | AlphaNeural AI

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speecht5_finetuned_German_dataset

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speecht5_finetuned_German_dataset

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

Loss: 0.4241

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: 125
training_steps: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5004	8.4567	500	0.4634
0.475	16.9133	1000	0.4414
0.4581	25.3700	1500	0.4318
0.4439	33.8266	2000	0.4268
0.4446	42.2833	2500	0.4266
0.4377	50.7400	3000	0.4288
0.4343	59.1966	3500	0.4296
0.4372	67.6533	4000	0.4282
0.4405	76.1099	4500	0.4282
0.4218	84.5666	5000	0.4241

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.19.1