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---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: fil_b64_le4_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. -->
# fil_b64_le4_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: 0.4246
## 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: 0.0001
- 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 |
|:-------------:|:--------:|:----:|:---------------:|
| 0.4811 | 22.2222 | 500 | 0.4381 |
| 0.4495 | 44.4444 | 1000 | 0.4216 |
| 0.4293 | 66.6667 | 1500 | 0.4446 |
| 0.4246 | 88.8889 | 2000 | 0.4177 |
| 0.4094 | 111.1111 | 2500 | 0.4179 |
| 0.3944 | 133.3333 | 3000 | 0.4232 |
| 0.3794 | 155.5556 | 3500 | 0.4190 |
| 0.3768 | 177.7778 | 4000 | 0.4187 |
| 0.3743 | 200.0 | 4500 | 0.4276 |
| 0.3598 | 222.2222 | 5000 | 0.4232 |
| 0.3634 | 244.4444 | 5500 | 0.4203 |
| 0.3558 | 266.6667 | 6000 | 0.4219 |
| 0.3502 | 288.8889 | 6500 | 0.4230 |
| 0.3529 | 311.1111 | 7000 | 0.4268 |
| 0.3447 | 333.3333 | 7500 | 0.4254 |
| 0.3371 | 355.5556 | 8000 | 0.4246 |
### Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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