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---
language:
- lb
license: mit
base_model: microsoft/speecht5_tts
tags:
- TTS
- generated_from_trainer
datasets:
- google/fleurs
model-index:
- name: SpeechT5 TTS Luxembourgish
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# SpeechT5 TTS Luxembourgish
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co./microsoft/speecht5_tts) on the fleurs dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.4980
- eval_runtime: 17.1824
- eval_samples_per_second: 26.422
- eval_steps_per_second: 3.317
- epoch: 52.6316
- 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 300
- training_steps: 3000
- mixed_precision_training: Native AMP
### Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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