---
license: mit
base_model: guilhermebastos96/speecht5_finetuned_sip_ai_v3
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_sip_ai_v4
  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

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: 0.4511

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.5295        | 0.29  | 1000  | 0.4912          |
| 0.506         | 0.58  | 2000  | 0.4767          |
| 0.5004        | 0.87  | 3000  | 0.4713          |
| 0.4991        | 1.16  | 4000  | 0.4634          |
| 0.4766        | 1.45  | 5000  | 0.4596          |
| 0.4923        | 1.74  | 6000  | 0.4569          |
| 0.4808        | 2.03  | 7000  | 0.4532          |
| 0.4832        | 2.32  | 8000  | 0.4545          |
| 0.4763        | 2.61  | 9000  | 0.4524          |
| 0.4859        | 2.91  | 10000 | 0.4511          |


### Framework versions

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