---
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