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: 0.5147

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: 100

• training_steps: 800

• mixed_precision_training: Native AMP

Training results

| Training Loss | Epoch | Step | Validation Loss |

|:-------------:|:-------:|:----:|:---------------:|

| 0.5376 | 19.2365 | 500 | 0.5147 |

Framework versions

• Transformers 4.57.6

• Pytorch 2.8.0+cu128

• Datasets 4.8.4

• Tokenizers 0.22.2