speecht5_finetuned_voxpopuli_fi – AI Model by Atrac | AlphaNeural AI

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Atrac/
speecht5_finetuned_voxpopuli_fi

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generated_from_trainer

facebook/voxpopuli

microsoft/speecht5_tts

endpoints_compatible

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SpeechT5 TTS Finnish

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: 0.4953

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: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 500
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
5.9101	1.0	50	0.6594
5.5265	2.0	100	0.6225
5.2789	3.0	150	0.5963
5.0550	4.0	200	0.5794
4.9240	5.0	250	0.5650
4.7639	6.0	300	0.5397
4.5392	7.0	350	0.5169
4.3294	8.0	400	0.5050
4.2417	9.0	450	0.5019
4.2179	10.0	500	0.4953

Framework versions

Transformers 5.13.1
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2