metadata
language:
- ca
license: mit
base_model: microsoft/speecht5_tts
tags:
- TTS
- generated_from_trainer
- text-to-speech
datasets:
- openslr
model-index:
- name: SpeechT5 TTS Catalan
results: []
SpeechT5 TTS Catalan
This model is a fine-tuned version of microsoft/speecht5_tts on the OpenSLR dataset. It achieves the following results on the evaluation set:
- Loss: 0.4360
Model description
This model was trained using the instructions provided on this notebook but using the catalan subset of OpenSLR dataset. The main change is the use of trimming to delete large parts of silence that this dataset originally have. You can check the notebook used for this training here
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: 8000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5039 | 8.37 | 1000 | 0.4530 |
| 0.4723 | 16.74 | 2000 | 0.4345 |
| 0.4583 | 25.1 | 3000 | 0.4316 |
| 0.4565 | 33.47 | 4000 | 0.4294 |
| 0.4363 | 41.84 | 5000 | 0.4329 |
| 0.446 | 50.21 | 6000 | 0.4331 |
| 0.4508 | 58.58 | 7000 | 0.4336 |
| 0.4529 | 66.95 | 8000 | 0.4360 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3