---
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: The_700_data_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. -->

# The_700_data_model

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: 0.4588

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 0.5723        | 5.1613  | 100  | 0.5148          |
| 0.5244        | 10.3226 | 200  | 0.4888          |
| 0.5008        | 15.4839 | 300  | 0.4817          |
| 0.4873        | 20.6452 | 400  | 0.4742          |
| 0.4769        | 25.8065 | 500  | 0.4700          |
| 0.4741        | 30.9677 | 600  | 0.4667          |
| 0.4612        | 36.1290 | 700  | 0.4600          |
| 0.4522        | 41.2903 | 800  | 0.4593          |
| 0.4526        | 46.4516 | 900  | 0.4601          |
| 0.4447        | 51.6129 | 1000 | 0.4584          |
| 0.4489        | 56.7742 | 1100 | 0.4604          |
| 0.4373        | 61.9355 | 1200 | 0.4577          |
| 0.4332        | 67.0968 | 1300 | 0.4592          |
| 0.4338        | 72.2581 | 1400 | 0.4598          |
| 0.4328        | 77.4194 | 1500 | 0.4588          |


### Framework versions

- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0