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

# ABG_MODEL_EGP

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: 0.5052

## 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: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.6296        | 0.2540 | 100  | 0.5643          |
| 0.594         | 0.5079 | 200  | 0.5455          |
| 0.5713        | 0.7619 | 300  | 0.5376          |
| 0.5647        | 1.0159 | 400  | 0.5277          |
| 0.5532        | 1.2698 | 500  | 0.5221          |
| 0.5522        | 1.5238 | 600  | 0.5151          |
| 0.5477        | 1.7778 | 700  | 0.5119          |
| 0.5443        | 2.0317 | 800  | 0.5098          |
| 0.5407        | 2.2857 | 900  | 0.5068          |
| 0.5376        | 2.5397 | 1000 | 0.5052          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1