01-08-2023_19-25-49
This model is a fine-tuned version of microsoft/speecht5_tts on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5452
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: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 6000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5581 | 1.0 | 884 | 0.6011 |
| 0.5129 | 2.0 | 1768 | 0.5674 |
| 0.5038 | 3.0 | 2652 | 0.5604 |
| 0.5068 | 4.0 | 3536 | 0.5502 |
| 0.4936 | 5.0 | 4420 | 0.5465 |
| 0.4871 | 6.0 | 5304 | 0.5426 |
| 0.4855 | 6.79 | 6000 | 0.5452 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 1.10.1+cu113
- Datasets 2.13.1
- Tokenizers 0.13.3
- Downloads last month
- 75
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for MaxBas/01-08-2023_19-25-49
Base model
microsoft/speecht5_tts