metadata
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: igbotts_refined
results: []
igbotts_refined
This model is a fine-tuned version of microsoft/speecht5_tts on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4884
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: Use OptimizerNames.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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.594 | 3.6538 | 500 | 0.5317 |
| 0.5516 | 7.3012 | 1000 | 0.5032 |
| 0.534 | 10.9550 | 1500 | 0.4977 |
| 0.5165 | 14.6024 | 2000 | 0.4930 |
| 0.507 | 18.2498 | 2500 | 0.4911 |
| 0.5144 | 21.9036 | 3000 | 0.4851 |
| 0.5025 | 25.5510 | 3500 | 0.4885 |
| 0.5 | 29.1983 | 4000 | 0.4884 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1