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---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: ceb_b32_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. -->
# ceb_b32_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: 0.3928
## 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: 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 |
|:-------------:|:--------:|:----:|:---------------:|
| 0.5667 | 9.9010 | 500 | 0.4776 |
| 0.4838 | 19.8020 | 1000 | 0.4321 |
| 0.4604 | 29.7030 | 1500 | 0.4157 |
| 0.4373 | 39.6040 | 2000 | 0.4034 |
| 0.4359 | 49.5050 | 2500 | 0.4006 |
| 0.4236 | 59.4059 | 3000 | 0.3975 |
| 0.4196 | 69.3069 | 3500 | 0.3956 |
| 0.4183 | 79.2079 | 4000 | 0.3938 |
| 0.4148 | 89.1089 | 4500 | 0.3941 |
| 0.4034 | 99.0099 | 5000 | 0.3930 |
| 0.4137 | 108.9109 | 5500 | 0.3955 |
| 0.4094 | 118.8119 | 6000 | 0.3924 |
| 0.4112 | 128.7129 | 6500 | 0.3917 |
| 0.4041 | 138.6139 | 7000 | 0.3923 |
| 0.3989 | 148.5149 | 7500 | 0.3927 |
| 0.3989 | 158.4158 | 8000 | 0.3928 |
### Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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