metadata
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_emirhan_tr2
results: []
speecht5_finetuned_emirhan_tr2
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: 0.4583
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: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.3014 | 0.0497 | 100 | 0.5731 |
| 4.8007 | 0.0994 | 200 | 0.5634 |
| 4.4991 | 0.1491 | 300 | 0.5075 |
| 4.3261 | 0.1987 | 400 | 0.5087 |
| 4.2605 | 0.2484 | 500 | 0.4883 |
| 4.196 | 0.2981 | 600 | 0.4805 |
| 4.108 | 0.3478 | 700 | 0.4697 |
| 4.1053 | 0.3975 | 800 | 0.4655 |
| 4.0197 | 0.4472 | 900 | 0.4595 |
| 4.0208 | 0.4969 | 1000 | 0.4583 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0