metadata
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_emirhan_tr
results: []
speecht5_finetuned_emirhan_tr
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: 0.2990
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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 |
|---|---|---|---|
| 0.5108 | 0.0571 | 100 | 0.4464 |
| 0.42 | 0.1142 | 200 | 0.3574 |
| 0.377 | 0.1713 | 300 | 0.3402 |
| 0.3568 | 0.2284 | 400 | 0.3280 |
| 0.3474 | 0.2855 | 500 | 0.3244 |
| 0.3439 | 0.3426 | 600 | 0.3145 |
| 0.3337 | 0.3997 | 700 | 0.3114 |
| 0.3307 | 0.4568 | 800 | 0.3041 |
| 0.3243 | 0.5140 | 900 | 0.3001 |
| 0.3231 | 0.5711 | 1000 | 0.2990 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0