---
library_name: transformers
language:
- mr
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- srija616/GC_marathi_large
model-index:
- name: SpeechT5 TTS marathi train1
  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 TTS marathi train1

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the GC_marathi_large dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7604

## 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-06
- 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: 50
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 2.0728        | 5.2632  | 100  | 0.9236          |
| 1.8554        | 10.5263 | 200  | 0.8116          |
| 1.7615        | 15.7895 | 300  | 0.7807          |
| 1.6881        | 21.0526 | 400  | 0.7641          |
| 1.6793        | 26.3158 | 500  | 0.7604          |


### Framework versions

- Transformers 4.46.0.dev0
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1