metadata
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: uz_2301_3.1_tts
results: []
uz_2301_3.1_tts
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: 0.4577
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: 0.0003
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_bnb_8bit 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: 500
- training_steps: 7000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5566 | 10.0 | 500 | 0.4779 |
| 0.441 | 20.0 | 1000 | 0.4353 |
| 0.4194 | 30.0 | 1500 | 0.4364 |
| 0.4018 | 40.0 | 2000 | 0.4254 |
| 0.3771 | 50.0 | 2500 | 0.4184 |
| 0.3807 | 60.0 | 3000 | 0.4363 |
| 0.3615 | 70.0 | 3500 | 0.4384 |
| 0.3492 | 80.0 | 4000 | 0.4462 |
| 0.3323 | 90.0 | 4500 | 0.4423 |
| 0.3281 | 100.0 | 5000 | 0.4445 |
| 0.3299 | 110.0 | 5500 | 0.4454 |
| 0.3145 | 120.0 | 6000 | 0.4464 |
| 0.3192 | 130.0 | 6500 | 0.4540 |
| 0.3108 | 140.0 | 7000 | 0.4577 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0