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---
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: ESP_Model
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. -->
# ESP_Model
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: 0.4896
## 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: 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: 100
- training_steps: 1500
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:--------:|:----:|:---------------:|
| 0.5777 | 11.1111 | 100 | 0.5336 |
| 0.5385 | 22.2222 | 200 | 0.5073 |
| 0.5054 | 33.3333 | 300 | 0.5005 |
| 0.4953 | 44.4444 | 400 | 0.4983 |
| 0.4714 | 55.5556 | 500 | 0.4939 |
| 0.4662 | 66.6667 | 600 | 0.4946 |
| 0.4563 | 77.7778 | 700 | 0.4981 |
| 0.4451 | 88.8889 | 800 | 0.4921 |
| 0.4412 | 100.0 | 900 | 0.4946 |
| 0.4384 | 111.1111 | 1000 | 0.4868 |
| 0.4308 | 122.2222 | 1100 | 0.4946 |
| 0.4226 | 133.3333 | 1200 | 0.4924 |
| 0.4186 | 144.4444 | 1300 | 0.4936 |
| 0.4205 | 155.5556 | 1400 | 0.4891 |
| 0.418 | 166.6667 | 1500 | 0.4896 |
### Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
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