metadata
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_rohit_hindi
results: []
speecht5_finetuned_rohit_hindi
This model is a fine-tuned version of microsoft/speecht5_tts on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6190
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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 800
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7704 | 0.2944 | 100 | 1.3052 |
| 1.0046 | 0.5889 | 200 | 0.8179 |
| 0.8288 | 0.8833 | 300 | 0.7114 |
| 0.7703 | 1.1778 | 400 | 0.6793 |
| 0.7269 | 1.4722 | 500 | 0.6498 |
| 0.7226 | 1.7667 | 600 | 0.6314 |
| 0.6933 | 2.0611 | 700 | 0.6219 |
| 0.6862 | 2.3555 | 800 | 0.6190 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1