speecht5_finetuned_multilingual_librispeech_spanish

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

• eval_loss: 0.3992
• eval_runtime: 15.8528
• eval_samples_per_second: 14.824
• eval_steps_per_second: 7.443
• epoch: 45.4554
• step: 3000

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
• training_steps: 4000
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.57.1
• Pytorch 2.8.0+cu126
• Datasets 3.6.0
• Tokenizers 0.22.1