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---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: ceb_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. -->
# ceb_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: 0.3930
## 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 |
|:-------------:|:--------:|:----:|:---------------:|
| 0.5525 | 19.6078 | 500 | 0.4686 |
| 0.4756 | 39.2157 | 1000 | 0.4276 |
| 0.4543 | 58.8235 | 1500 | 0.4116 |
| 0.4346 | 78.4314 | 2000 | 0.4028 |
| 0.4292 | 98.0392 | 2500 | 0.3997 |
| 0.4166 | 117.6471 | 3000 | 0.3952 |
| 0.4122 | 137.2549 | 3500 | 0.3957 |
| 0.4063 | 156.8627 | 4000 | 0.3940 |
| 0.4028 | 176.4706 | 4500 | 0.3951 |
| 0.3982 | 196.0784 | 5000 | 0.3931 |
| 0.4055 | 215.6863 | 5500 | 0.3946 |
| 0.4019 | 235.2941 | 6000 | 0.3925 |
| 0.4 | 254.9020 | 6500 | 0.3940 |
| 0.4046 | 274.5098 | 7000 | 0.3953 |
| 0.3955 | 294.1176 | 7500 | 0.3945 |
| 0.3944 | 313.7255 | 8000 | 0.3930 |
### Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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