fil_b128_le3_s4000
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: 1.5588
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: 0.001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.4367 | 44.4444 | 500 | 0.4145 |
0.4709 | 88.8889 | 1000 | 0.4964 |
1.5891 | 133.3333 | 1500 | 1.5470 |
1.5787 | 177.7778 | 2000 | 1.5497 |
1.5714 | 222.2222 | 2500 | 1.5524 |
1.5715 | 266.6667 | 3000 | 1.5577 |
1.5689 | 311.1111 | 3500 | 1.5574 |
1.5691 | 355.5556 | 4000 | 1.5588 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Downloads last month
- 1