---
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_emirhan_tr2
  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_finetuned_emirhan_tr2

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: 0.4583

## 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: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 5.3014        | 0.0497 | 100  | 0.5731          |
| 4.8007        | 0.0994 | 200  | 0.5634          |
| 4.4991        | 0.1491 | 300  | 0.5075          |
| 4.3261        | 0.1987 | 400  | 0.5087          |
| 4.2605        | 0.2484 | 500  | 0.4883          |
| 4.196         | 0.2981 | 600  | 0.4805          |
| 4.108         | 0.3478 | 700  | 0.4697          |
| 4.1053        | 0.3975 | 800  | 0.4655          |
| 4.0197        | 0.4472 | 900  | 0.4595          |
| 4.0208        | 0.4969 | 1000 | 0.4583          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0