fil_b64_le5_s8000
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: 0.4119
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: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- training_steps: 8000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6071 | 21.7391 | 500 | 0.5213 |
| 0.5126 | 43.4783 | 1000 | 0.4507 |
| 0.4749 | 65.2174 | 1500 | 0.4311 |
| 0.454 | 86.9565 | 2000 | 0.4231 |
| 0.443 | 108.6957 | 2500 | 0.4173 |
| 0.4376 | 130.4348 | 3000 | 0.4169 |
| 0.4287 | 152.1739 | 3500 | 0.4133 |
| 0.4264 | 173.9130 | 4000 | 0.4150 |
| 0.423 | 195.6522 | 4500 | 0.4134 |
| 0.4223 | 217.3913 | 5000 | 0.4113 |
| 0.4104 | 239.1304 | 5500 | 0.4098 |
| 0.4192 | 260.8696 | 6000 | 0.4106 |
| 0.4089 | 282.6087 | 6500 | 0.4122 |
| 0.4146 | 304.3478 | 7000 | 0.4115 |
| 0.4116 | 326.0870 | 7500 | 0.4111 |
| 0.4097 | 347.8261 | 8000 | 0.4119 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Downloads last month
- 0