metadata
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- hinglish
model-index:
- name: speecht5_finetuned_emirhan_tr
results: []
speecht5_finetuned_emirhan_tr
This model is a fine-tuned version of microsoft/speecht5_tts on the hinglish dataset. It achieves the following results on the evaluation set:
- Loss: 0.5239
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: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.5354 | 1.0861 | 100 | 0.6414 |
| 4.9887 | 2.1723 | 200 | 0.5665 |
| 4.7193 | 3.2584 | 300 | 0.5484 |
| 4.5044 | 4.3445 | 400 | 0.5310 |
| 4.4653 | 5.4307 | 500 | 0.5239 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0