Adia_llm
This model is a fine-tuned version of microsoft/speecht5_tts on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4478
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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- 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: 2500
- training_steps: 15000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4862 | 9.0909 | 2500 | 0.4537 |
| 0.4505 | 18.1818 | 5000 | 0.4393 |
| 0.4434 | 27.2727 | 7500 | 0.4404 |
| 0.4359 | 36.3636 | 10000 | 0.4411 |
| 0.4314 | 45.4545 | 12500 | 0.4451 |
| 0.4268 | 54.5455 | 15000 | 0.4478 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1
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Base model
microsoft/speecht5_tts