---
language:
- nl
license: mit
base_model: IoanRazvan/speecht5_tts_voxpopuli_ro
tags:
- generated_from_trainer
datasets:
- AlexSolomon/speecht5_tts_finetune_ro
model-index:
- name: Romanian Colocvial Speech
  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. -->

# Romanian Colocvial Speech

This model is a fine-tuned version of [IoanRazvan/speecht5_tts_voxpopuli_ro](https://huggingface.co/IoanRazvan/speecht5_tts_voxpopuli_ro) on the RomanianColocvialSpeech dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4040

## 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: 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4604        | 11.3  | 1000 | 0.4145          |
| 0.4338        | 22.6  | 2000 | 0.4036          |
| 0.4305        | 33.9  | 3000 | 0.4070          |
| 0.4252        | 45.2  | 4000 | 0.4040          |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2