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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: 0.3662
## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 0.6645 | 0.8377 | 500 | 0.5698 |
| 0.5581 | 1.6754 | 1000 | 0.4794 |
| 0.5045 | 2.5131 | 1500 | 0.4467 |
| 0.4776 | 3.3508 | 2000 | 0.4236 |
| 0.4553 | 4.1885 | 2500 | 0.4093 |
| 0.4489 | 5.0262 | 3000 | 0.3968 |
| 0.4337 | 5.8639 | 3500 | 0.3926 |
| 0.4282 | 6.7016 | 4000 | 0.3837 |
| 0.4188 | 7.5393 | 4500 | 0.3798 |
| 0.4222 | 8.3770 | 5000 | 0.3784 |
| 0.412 | 9.2147 | 5500 | 0.3729 |
| 0.4056 | 10.0524 | 6000 | 0.3697 |
| 0.4065 | 10.8901 | 6500 | 0.3685 |
| 0.4069 | 11.7277 | 7000 | 0.3675 |
| 0.4049 | 12.5654 | 7500 | 0.3666 |
| 0.4044 | 13.4031 | 8000 | 0.3662 |
### Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
|