---
license: mit
base_model: guilhermebastos96/speecht5_finetuned_sip_ai_v3
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_sip_ai_v4_globo_female
  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_finetuned_sip_ai_v4_globo_female

This model is a fine-tuned version of [guilhermebastos96/speecht5_finetuned_sip_ai_v3](https://huggingface.co/guilhermebastos96/speecht5_finetuned_sip_ai_v3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3367

## 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: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3933        | 7.14  | 1000  | 0.3580          |
| 0.3845        | 14.27 | 2000  | 0.3482          |
| 0.374         | 21.41 | 3000  | 0.3425          |
| 0.3774        | 28.55 | 4000  | 0.3405          |
| 0.365         | 35.68 | 5000  | 0.3393          |
| 0.3673        | 42.82 | 6000  | 0.3368          |
| 0.3659        | 49.96 | 7000  | 0.3387          |
| 0.3649        | 57.09 | 8000  | 0.3375          |
| 0.3618        | 64.23 | 9000  | 0.3374          |
| 0.3634        | 71.36 | 10000 | 0.3367          |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2