metadata
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: zlm_b32_le4_s8000
results: []
zlm_b32_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: 0.3262
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: 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: 8000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5552 | 0.2094 | 500 | 0.4883 |
| 0.4913 | 0.4188 | 1000 | 0.4266 |
| 0.446 | 0.6283 | 1500 | 0.3975 |
| 0.4222 | 0.8377 | 2000 | 0.3949 |
| 0.4273 | 1.0471 | 2500 | 0.3829 |
| 0.4028 | 1.2565 | 3000 | 0.3674 |
| 0.3941 | 1.4660 | 3500 | 0.3616 |
| 0.3871 | 1.6754 | 4000 | 0.3519 |
| 0.3828 | 1.8848 | 4500 | 0.3493 |
| 0.3954 | 2.0942 | 5000 | 0.3490 |
| 0.381 | 2.3037 | 5500 | 0.3398 |
| 0.372 | 2.5131 | 6000 | 0.3372 |
| 0.3642 | 2.7225 | 6500 | 0.3314 |
| 0.3692 | 2.9319 | 7000 | 0.3308 |
| 0.3555 | 3.1414 | 7500 | 0.3283 |
| 0.3536 | 3.3508 | 8000 | 0.3262 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1