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---
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_voice_dataset_bn_v_4
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. -->
# speecht5_finetuned_voice_dataset_bn_v_4
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: 0.5560
## 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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- 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: 125
- training_steps: 3000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:--------:|:----:|:---------------:|
| 0.6302 | 12.1212 | 250 | 0.5979 |
| 0.5895 | 24.2424 | 500 | 0.5645 |
| 0.5658 | 36.3636 | 750 | 0.5638 |
| 0.5495 | 48.4848 | 1000 | 0.5609 |
| 0.5541 | 60.6061 | 1250 | 0.5443 |
| 0.5431 | 72.7273 | 1500 | 0.5522 |
| 0.5321 | 84.8485 | 1750 | 0.5406 |
| 0.5321 | 96.9697 | 2000 | 0.5515 |
| 0.5267 | 109.0909 | 2250 | 0.5674 |
| 0.5334 | 121.2121 | 2500 | 0.5607 |
| 0.5202 | 133.3333 | 2750 | 0.5586 |
| 0.52 | 145.4545 | 3000 | 0.5560 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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