---
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_mehdi_as_1
  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. -->

# speecht5_mehdi_as_1

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: 0.5176

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 0.611         | 3.5556  | 100  | 0.5611          |
| 0.55          | 7.1111  | 200  | 0.5361          |
| 0.5435        | 10.6667 | 300  | 0.5158          |
| 0.5081        | 14.2222 | 400  | 0.4987          |
| 0.4918        | 17.7778 | 500  | 0.5124          |
| 0.4851        | 21.3333 | 600  | 0.4984          |
| 0.4783        | 24.8889 | 700  | 0.5027          |
| 0.4721        | 28.4444 | 800  | 0.4964          |
| 0.4595        | 32.0    | 900  | 0.5092          |
| 0.4524        | 35.5556 | 1000 | 0.5169          |
| 0.4528        | 39.1111 | 1100 | 0.5130          |
| 0.4423        | 42.6667 | 1200 | 0.5114          |
| 0.4401        | 46.2222 | 1300 | 0.5175          |
| 0.439         | 49.7778 | 1400 | 0.5202          |
| 0.4357        | 53.3333 | 1500 | 0.5176          |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Tokenizers 0.20.3