metadata
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: zlm_b64_le4_s4000
results: []
zlm_b64_le4_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: 0.3333
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4089 | 0.4188 | 500 | 0.3876 |
| 0.4046 | 0.8377 | 1000 | 0.3756 |
| 0.4013 | 1.2565 | 1500 | 0.3666 |
| 0.396 | 1.6754 | 2000 | 0.3648 |
| 0.3829 | 2.0942 | 2500 | 0.3528 |
| 0.3786 | 2.5131 | 3000 | 0.3410 |
| 0.3663 | 2.9319 | 3500 | 0.3374 |
| 0.359 | 3.3508 | 4000 | 0.3333 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1