---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_en32_lr201
  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. -->

# speecht5_finetuned_en32_lr201

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: 1.1221

## 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: 0.001
- train_batch_size: 32
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch    | Step | Validation Loss |
|:-------------:|:--------:|:----:|:---------------:|
| 0.4125        | 27.5862  | 100  | 0.4236          |
| 0.3922        | 55.1724  | 200  | 0.4396          |
| 0.4041        | 82.7586  | 300  | 0.4569          |
| 1.2069        | 110.3448 | 400  | 1.5275          |
| 1.1191        | 137.9310 | 500  | 1.1303          |
| 1.1334        | 165.5172 | 600  | 1.1247          |
| 1.1152        | 193.1034 | 700  | 1.1261          |
| 1.1065        | 220.6897 | 800  | 1.1219          |
| 1.1053        | 248.2759 | 900  | 1.1215          |
| 1.1055        | 275.8621 | 1000 | 1.1253          |
| 1.1281        | 303.4483 | 1100 | 1.1225          |
| 1.1074        | 331.0345 | 1200 | 1.1230          |
| 1.1043        | 358.6207 | 1300 | 1.1228          |
| 1.1038        | 386.2069 | 1400 | 1.1227          |
| 1.1036        | 413.7931 | 1500 | 1.1221          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1