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speecht5_finetuned_voxpopuli_nl

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speecht5_finetuned_voxpopuli_nl

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: 0.4597

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: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5218	4.3	1000	0.4785
0.4932	8.61	2000	0.4658
0.4944	12.91	3000	0.4626
0.4926	17.21	4000	0.4597

Framework versions

Transformers 4.38.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.12.0
Tokenizers 0.15.1

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Safetensors

Model size

144M params

Tensor type

F32

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Model tree for mikhail-panzo/speecht5_finetuned_voxpopuli_nl

Base model

microsoft/speecht5_tts

Finetuned

(795)

this model

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Evaluation results

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