metadata
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: zlm_b64_le4_s8000
results: []
zlm_b64_le4_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: 0.3177
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- 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 |
|---|---|---|---|
| 0.5277 | 0.4188 | 500 | 0.4806 |
| 0.4582 | 0.8377 | 1000 | 0.4116 |
| 0.4312 | 1.2565 | 1500 | 0.3951 |
| 0.4122 | 1.6754 | 2000 | 0.3768 |
| 0.4002 | 2.0942 | 2500 | 0.3599 |
| 0.3905 | 2.5131 | 3000 | 0.3521 |
| 0.3806 | 2.9319 | 3500 | 0.3445 |
| 0.37 | 3.3508 | 4000 | 0.3474 |
| 0.3736 | 3.7696 | 4500 | 0.3362 |
| 0.3608 | 8.3872 | 5000 | 0.3342 |
| 0.3602 | 9.2249 | 5500 | 0.3258 |
| 0.3561 | 10.0626 | 6000 | 0.3230 |
| 0.3505 | 10.9003 | 6500 | 0.3199 |
| 0.3473 | 11.7380 | 7000 | 0.3193 |
| 0.3523 | 12.5757 | 7500 | 0.3177 |
| 0.3462 | 13.4134 | 8000 | 0.3177 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1