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---
language:
- ita
base_model: microsoft/speecht5-tts
tags:
- text-to-speech
datasets:
- facebook/multilingual_librispeech
model-index:
- name: speecht5-finetuned-ita
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-finetuned-multilingual_librispeech
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the multilingual_librispeech dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4342
## 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: 200
- training_steps: 1000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5378 | 7.75 | 250 | 0.4721 |
| 0.4872 | 15.5 | 500 | 0.4424 |
| 0.4766 | 23.26 | 750 | 0.4363 |
| 0.4784 | 31.01 | 1000 | 0.4342 |
### Framework versions
- Transformers 4.32.0.dev0
- Pytorch 1.13.1
- Datasets 2.14.3
- Tokenizers 0.13.2
|