metadata
library_name: transformers
language:
- en
license: mit
base_model: microsoft/speecht5_tts
tags:
- English
- generated_from_trainer
datasets:
- Yassmen/TTS_English_Technical_data
model-index:
- name: SpeechT5-fine-tune-en
results: []
SpeechT5-fine-tune-en
This model is a fine-tuned version of microsoft/speecht5_tts on the TTS_English_Technical_data dataset. It achieves the following results on the evaluation set:
- Loss: 0.4473
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: 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 |
|---|---|---|---|
| 4.6694 | 0.3583 | 100 | 0.5087 |
| 4.3795 | 0.7165 | 200 | 0.4933 |
| 4.1725 | 1.0748 | 300 | 0.4727 |
| 4.061 | 1.4330 | 400 | 0.4695 |
| 3.9896 | 1.7913 | 500 | 0.4633 |
| 3.941 | 2.1496 | 600 | 0.4580 |
| 3.8944 | 2.5078 | 700 | 0.4538 |
| 3.8968 | 2.8661 | 800 | 0.4522 |
| 3.79 | 3.2244 | 900 | 0.4499 |
| 3.8059 | 3.5826 | 1000 | 0.4473 |
Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1