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---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: fil_b128_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. -->
# fil_b128_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: 0.4053
## 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: 4
- total_train_batch_size: 128
- 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 |
|:-------------:|:--------:|:----:|:---------------:|
| 0.5575 | 43.4783 | 500 | 0.4795 |
| 0.4877 | 86.9565 | 1000 | 0.4371 |
| 0.4582 | 130.4348 | 1500 | 0.4196 |
| 0.4486 | 173.9130 | 2000 | 0.4145 |
| 0.4353 | 217.3913 | 2500 | 0.4096 |
| 0.4261 | 260.8696 | 3000 | 0.4057 |
| 0.4206 | 304.3478 | 3500 | 0.4049 |
| 0.4117 | 347.8261 | 4000 | 0.4065 |
| 0.4123 | 391.3043 | 4500 | 0.4029 |
| 0.4117 | 434.7826 | 5000 | 0.4046 |
| 0.4053 | 478.2609 | 5500 | 0.4045 |
| 0.4064 | 521.7391 | 6000 | 0.4047 |
| 0.4058 | 565.2174 | 6500 | 0.4042 |
| 0.3995 | 608.6957 | 7000 | 0.4058 |
| 0.4076 | 652.1739 | 7500 | 0.4054 |
| 0.4042 | 695.6522 | 8000 | 0.4053 |
### Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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