metadata
language:
- 'no'
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- NbAiLab/NPSC
model-index:
- name: speecht5_tts_npsc
results: []
speecht5_tts_npsc
This model is a fine-tuned version of microsoft/speecht5_tts on the NbAiLab/NPSC dataset. It achieves the following results on the evaluation set:
- Loss: 0.4745
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5489 | 2.42 | 1000 | 0.5087 |
| 0.5217 | 4.83 | 2000 | 0.4842 |
| 0.5151 | 7.25 | 3000 | 0.4770 |
| 0.5147 | 9.66 | 4000 | 0.4745 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0