zlm_b32_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: 0.3854
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: 32
- 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: 8050
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7532 | 0.2094 | 500 | 0.6165 |
| 0.6399 | 0.4188 | 1000 | 0.5227 |
| 0.5333 | 0.6281 | 1500 | 0.4723 |
| 0.5159 | 0.8375 | 2000 | 0.4493 |
| 0.4795 | 1.0469 | 2500 | 0.4283 |
| 0.4821 | 1.2563 | 3000 | 0.4274 |
| 0.4563 | 1.4657 | 3500 | 0.4122 |
| 0.4428 | 1.6750 | 4000 | 0.4040 |
| 0.4604 | 1.8844 | 4500 | 0.4010 |
| 0.4545 | 2.0938 | 5000 | 0.3986 |
| 0.445 | 2.3032 | 5500 | 0.3939 |
| 0.4279 | 2.5126 | 6000 | 0.3892 |
| 0.4451 | 2.7219 | 6500 | 0.3893 |
| 0.4243 | 2.9313 | 7000 | 0.3868 |
| 0.4356 | 3.1407 | 7500 | 0.3857 |
| 0.4429 | 3.3501 | 8000 | 0.3854 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for mikhail-panzo/zlm_b32_le5_s8000
Base model
microsoft/speecht5_tts