metadata
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: zlm_b32
results: []
zlm_b32
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: 2.8058
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: 2
- total_train_batch_size: 32
- 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 |
---|---|---|---|
0.53 | 0.2094 | 500 | 0.4889 |
0.5726 | 0.4188 | 1000 | 0.4970 |
2.9469 | 0.6283 | 1500 | 2.8265 |
2.8366 | 0.8377 | 2000 | 2.8079 |
2.8277 | 1.0471 | 2500 | 2.8231 |
2.8102 | 1.2565 | 3000 | 2.8054 |
2.8081 | 1.4660 | 3500 | 2.7970 |
2.8053 | 1.6754 | 4000 | 2.8058 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1