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---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: zlm_b64_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_b64_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: 0.3771
## 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: 2
- 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: 8000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.7074 | 0.4188 | 500 | 0.6029 |
| 0.5916 | 0.8375 | 1000 | 0.4968 |
| 0.5206 | 1.2563 | 1500 | 0.4592 |
| 0.4979 | 1.6750 | 2000 | 0.4388 |
| 0.4852 | 2.0938 | 2500 | 0.4211 |
| 0.4615 | 2.5126 | 3000 | 0.4088 |
| 0.4521 | 2.9313 | 3500 | 0.4002 |
| 0.4431 | 3.3501 | 4000 | 0.3948 |
| 0.4393 | 3.7688 | 4500 | 0.3914 |
| 0.4271 | 4.1876 | 5000 | 0.3861 |
| 0.4317 | 4.6064 | 5500 | 0.3836 |
| 0.4265 | 5.0251 | 6000 | 0.3809 |
| 0.424 | 5.4439 | 6500 | 0.3794 |
| 0.4123 | 5.8626 | 7000 | 0.3786 |
| 0.4117 | 6.2814 | 7500 | 0.3776 |
| 0.4155 | 6.7002 | 8000 | 0.3771 |
### Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
|