---
tags:
- generated_from_trainer
datasets:
- multilingual_librispeech
model-index:
- name: speecht5_finetuned_male_globo_add_token_3_facebook
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# speecht5_finetuned_male_globo_add_token_3_facebook

This model was trained from scratch on the multilingual_librispeech dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3585

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.4143        | 2.6   | 1000  | 0.3794          |
| 0.4056        | 5.2   | 2000  | 0.3701          |
| 0.3983        | 7.81  | 3000  | 0.3665          |
| 0.3988        | 10.41 | 4000  | 0.3641          |
| 0.3912        | 13.01 | 5000  | 0.3626          |
| 0.3901        | 15.61 | 6000  | 0.3604          |
| 0.3864        | 18.22 | 7000  | 0.3605          |
| 0.3895        | 20.82 | 8000  | 0.3591          |
| 0.3848        | 23.42 | 9000  | 0.3587          |
| 0.3868        | 26.02 | 10000 | 0.3585          |


### Framework versions

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