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model
This model is a fine-tuned version of /content/drive/MyDrive/YorubaTTS/model/checkpoint-2000 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4271
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: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4687 | 1.62 | 500 | 0.4342 |
| 0.468 | 3.24 | 1000 | 0.4306 |
| 0.4736 | 4.86 | 1500 | 0.4309 |
| 0.4677 | 6.48 | 2000 | 0.4289 |
| 0.4698 | 8.1 | 2500 | 0.4288 |
| 0.463 | 9.72 | 3000 | 0.4280 |
| 0.4571 | 11.34 | 3500 | 0.4272 |
| 0.4615 | 12.96 | 4000 | 0.4271 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
