metadata
language:
- ti
license: mit
base_model: microsoft/speecht5_tts
tags:
- tigrinya, tts
- generated_from_trainer
datasets:
- tigregna_parallel
model-index:
- name: TTS_tigregna
results: []
TTS_tigregna
This model is a fine-tuned version of microsoft/speecht5_tts on the tigregna_20_hr dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 20000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0 | 11.33 | 1000 | nan |
| 0.0 | 22.66 | 2000 | nan |
| 0.0 | 33.99 | 3000 | nan |
| 0.0 | 45.33 | 4000 | nan |
| 0.0 | 56.66 | 5000 | nan |
| 0.0 | 67.99 | 6000 | nan |
| 0.0 | 79.32 | 7000 | nan |
| 0.0 | 90.65 | 8000 | nan |
| 0.0 | 101.98 | 9000 | nan |
| 0.0 | 113.31 | 10000 | nan |
| 0.0 | 124.65 | 11000 | nan |
| 0.0 | 135.98 | 12000 | nan |
| 0.0 | 147.31 | 13000 | nan |
| 0.0 | 158.64 | 14000 | nan |
| 0.0 | 169.97 | 15000 | nan |
| 0.0 | 181.3 | 16000 | nan |
| 0.0 | 192.63 | 17000 | nan |
| 0.0 | 203.97 | 18000 | nan |
| 0.0 | 215.3 | 19000 | nan |
| 0.0 | 226.63 | 20000 | nan |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2