---
library_name: transformers
language:
- hi
license: mit
base_model: microsoft/speecht5_tts
tags:
- Hindi
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_17_0
model-index:
- name: Speect5-common-voice-Hindi
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Speect5-common-voice-Hindi

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_17_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4619

## 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: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 5.2577        | 0.3442 | 100  | 0.5713          |
| 4.7919        | 0.6885 | 200  | 0.5288          |
| 4.4862        | 1.0327 | 300  | 0.5080          |
| 4.2187        | 1.3769 | 400  | 0.4920          |
| 4.1509        | 1.7212 | 500  | 0.4841          |
| 4.1573        | 2.0654 | 600  | 0.4809          |
| 4.0679        | 2.4096 | 700  | 0.4745          |
| 4.0088        | 2.7539 | 800  | 0.4671          |
| 3.9249        | 3.0981 | 900  | 0.4624          |
| 3.9106        | 3.4423 | 1000 | 0.4619          |


### Framework versions

- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1