---
license: mit
base_model: pedropauletti/speecht5_finetuned_common_voice_pt
tags:
- generated_from_trainer
datasets:
- common_voice_11_0
model-index:
- name: speecht5_finetuned_common_voice_pt
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# speecht5_finetuned_common_voice_pt

This model is a fine-tuned version of [pedropauletti/speecht5_finetuned_common_voice_pt](https://huggingface.co/pedropauletti/speecht5_finetuned_common_voice_pt) on the common_voice_11_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4610

## 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: 500
- training_steps: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4962        | 6.58  | 1000 | 0.4737          |
| 0.4823        | 13.16 | 2000 | 0.4651          |
| 0.4824        | 19.74 | 3000 | 0.4612          |
| 0.4845        | 26.32 | 4000 | 0.4610          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3