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---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: Finetuned_speecht5
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. -->
# Finetuned_speecht5
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5028
## 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: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.6106 | 8.8496 | 500 | 0.5241 |
| 0.5243 | 17.6991 | 1000 | 0.4949 |
| 0.5004 | 26.5487 | 1500 | 0.4873 |
| 0.4918 | 35.3982 | 2000 | 0.4871 |
| 0.4927 | 44.2478 | 2500 | 0.4922 |
| 0.4715 | 53.0973 | 3000 | 0.4964 |
| 0.4832 | 61.9469 | 3500 | 0.4996 |
| 0.4744 | 70.7965 | 4000 | 0.5028 |
| 0.4677 | 79.6460 | 4500 | 0.5046 |
| 0.4568 | 88.4956 | 5000 | 0.5028 |
### Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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