---
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- Chithekitale/testing_one
model-index:
- name: Chichewa TTS 1.0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Chichewa TTS 1.0

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

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch    | Step | Validation Loss |
|:-------------:|:--------:|:----:|:---------------:|
| 0.7231        | 35.7143  | 1000 | nan             |
| 0.6602        | 71.4286  | 2000 | nan             |
| 0.6706        | 107.1429 | 3000 | nan             |
| 0.6736        | 142.8571 | 4000 | nan             |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.7.0.dev20250301+cu118
- Datasets 3.3.2
- Tokenizers 0.21.0