---
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: ESP_Model
  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. -->

# ESP_Model

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: 0.4896

## 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: 0.0001
- 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: 100
- training_steps: 1500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch    | Step | Validation Loss |
|:-------------:|:--------:|:----:|:---------------:|
| 0.5777        | 11.1111  | 100  | 0.5336          |
| 0.5385        | 22.2222  | 200  | 0.5073          |
| 0.5054        | 33.3333  | 300  | 0.5005          |
| 0.4953        | 44.4444  | 400  | 0.4983          |
| 0.4714        | 55.5556  | 500  | 0.4939          |
| 0.4662        | 66.6667  | 600  | 0.4946          |
| 0.4563        | 77.7778  | 700  | 0.4981          |
| 0.4451        | 88.8889  | 800  | 0.4921          |
| 0.4412        | 100.0    | 900  | 0.4946          |
| 0.4384        | 111.1111 | 1000 | 0.4868          |
| 0.4308        | 122.2222 | 1100 | 0.4946          |
| 0.4226        | 133.3333 | 1200 | 0.4924          |
| 0.4186        | 144.4444 | 1300 | 0.4936          |
| 0.4205        | 155.5556 | 1400 | 0.4891          |
| 0.418         | 166.6667 | 1500 | 0.4896          |


### Framework versions

- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0