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---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: zlm_b128_le5_s8000
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zlm_b128_le5_s8000
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3566
## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 0.4378 | 0.8375 | 500 | 0.3956 |
| 0.4328 | 1.6750 | 1000 | 0.3922 |
| 0.4228 | 2.5126 | 1500 | 0.3871 |
| 0.4179 | 3.3501 | 2000 | 0.3843 |
| 0.409 | 4.1876 | 2500 | 0.3769 |
| 0.41 | 5.0251 | 3000 | 0.3739 |
| 0.4003 | 5.8626 | 3500 | 0.3709 |
| 0.4052 | 6.7002 | 4000 | 0.3680 |
| 0.397 | 7.5377 | 4500 | 0.3636 |
| 0.4007 | 8.3752 | 5000 | 0.3615 |
| 0.4022 | 9.2127 | 5500 | 0.3612 |
| 0.3896 | 10.0503 | 6000 | 0.3601 |
| 0.3911 | 10.8878 | 6500 | 0.3577 |
| 0.3949 | 11.7253 | 7000 | 0.3584 |
| 0.3948 | 12.5628 | 7500 | 0.3568 |
| 0.3877 | 13.4003 | 8000 | 0.3566 |
### Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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