|
--- |
|
license: mit |
|
base_model: microsoft/speecht5_tts |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: urdu_text_to_speech_tts |
|
results: [] |
|
datasets: |
|
- mozilla-foundation/common_voice_17_0 |
|
language: |
|
- ur |
|
metrics: |
|
- accuracy |
|
pipeline_tag: text-to-speech |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# urdu_text_to_speech_tts |
|
|
|
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co./microsoft/speecht5_tts) on an common_voice_17_0 urdu dataset with very small amount. It's trained using only 4200 sentences, for business use model need to be trained on large datasets. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4936 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 2 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- num_epochs: 20 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 0.6365 | 1.0 | 486 | 0.5707 | |
|
| 0.6045 | 2.0 | 972 | 0.5319 | |
|
| 0.591 | 3.0 | 1458 | 0.5265 | |
|
| 0.5711 | 4.0 | 1944 | 0.5178 | |
|
| 0.5528 | 5.0 | 2430 | 0.5142 | |
|
| 0.5335 | 6.0 | 2916 | 0.5073 | |
|
| 0.5316 | 7.0 | 3402 | 0.5015 | |
|
| 0.5308 | 8.0 | 3888 | 0.4992 | |
|
| 0.5381 | 9.0 | 4374 | 0.5022 | |
|
| 0.5292 | 10.0 | 4860 | 0.4977 | |
|
| 0.5242 | 11.0 | 5346 | 0.4975 | |
|
| 0.5129 | 12.0 | 5832 | 0.4970 | |
|
| 0.5122 | 13.0 | 6318 | 0.4937 | |
|
| 0.5329 | 14.0 | 6804 | 0.4943 | |
|
| 0.5189 | 15.0 | 7290 | 0.4921 | |
|
| 0.5164 | 16.0 | 7776 | 0.4946 | |
|
| 0.5097 | 17.0 | 8262 | 0.4931 | |
|
| 0.5858 | 18.0 | 8748 | 0.4948 | |
|
| 0.5128 | 19.0 | 9234 | 0.4936 | |
|
| 0.5203 | 20.0 | 9720 | 0.4936 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.42.3 |
|
- Pytorch 2.3.1+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
