---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: fil_b32_le5_s8000
  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. -->

# fil_b32_le5_s8000

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4039

## 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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- training_steps: 8000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch    | Step | Validation Loss |
|:-------------:|:--------:|:----:|:---------------:|
| 0.632         | 11.1111  | 500  | 0.5323          |
| 0.519         | 22.2222  | 1000 | 0.4494          |
| 0.4816        | 33.3333  | 1500 | 0.4291          |
| 0.481         | 44.4444  | 2000 | 0.4211          |
| 0.4459        | 55.5556  | 2500 | 0.4139          |
| 0.4484        | 66.6667  | 3000 | 0.4114          |
| 0.4317        | 77.7778  | 3500 | 0.4081          |
| 0.4301        | 88.8889  | 4000 | 0.4076          |
| 0.4274        | 100.0    | 4500 | 0.4059          |
| 0.4323        | 111.1111 | 5000 | 0.4062          |
| 0.4189        | 122.2222 | 5500 | 0.4045          |
| 0.4272        | 133.3333 | 6000 | 0.4059          |
| 0.4219        | 144.4444 | 6500 | 0.4058          |
| 0.4125        | 155.5556 | 7000 | 0.4049          |
| 0.42          | 166.6667 | 7500 | 0.4046          |
| 0.4145        | 177.7778 | 8000 | 0.4039          |


### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1