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---
language:
- as
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- madhabpaul/assamese_tts_dataset
model-index:
- name: SpeechT5 TTS Assamese
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 Assamese
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co./microsoft/speecht5_tts) on the Assamese TTS Dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4490
## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 1000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5553 | 16.0 | 200 | 0.4852 |
| 0.5026 | 32.0 | 400 | 0.4547 |
| 0.4595 | 48.0 | 600 | 0.4444 |
| 0.464 | 64.0 | 800 | 0.4472 |
| 0.4612 | 80.0 | 1000 | 0.4490 |
### Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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