| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: microsoft/speecht5_tts |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: jelle |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # jelle |
| |
|
| | This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.4497 |
| |
|
| | ## 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 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: 100 |
| | - training_steps: 500 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-------:|:----:|:---------------:| |
| | | 0.5223 | 3.4622 | 100 | 0.4843 | |
| | | 0.4818 | 6.9244 | 200 | 0.4572 | |
| | | 0.4493 | 10.3556 | 300 | 0.4514 | |
| | | 0.4378 | 13.8178 | 400 | 0.4512 | |
| | | 0.4281 | 17.2489 | 500 | 0.4497 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.52.4 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.21.1 |
| |
|
