---
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_male_globo_add_token_2
  results: []
---

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# speecht5_finetuned_male_globo_add_token_2

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3445

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3989        | 6.48  | 1000  | 0.3666          |
| 0.3899        | 12.97 | 2000  | 0.3541          |
| 0.3787        | 19.45 | 3000  | 0.3500          |
| 0.3756        | 25.93 | 4000  | 0.3494          |
| 0.3739        | 32.41 | 5000  | 0.3463          |
| 0.3728        | 38.9  | 6000  | 0.3448          |
| 0.3686        | 45.38 | 7000  | 0.3447          |
| 0.3687        | 51.86 | 8000  | 0.3446          |
| 0.3682        | 58.35 | 9000  | 0.3465          |
| 0.3683        | 64.83 | 10000 | 0.3445          |


### Framework versions

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