---
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_female_british_english_speaker_2
  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_female_british_english_speaker_2

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: 0.4968

## 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: 1100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.4995        | 7.9208  | 100  | 0.4349          |
| 0.421         | 15.8416 | 200  | 0.4270          |
| 0.3934        | 23.7624 | 300  | 0.4447          |
| 0.3765        | 31.6832 | 400  | 0.4632          |
| 0.3665        | 39.6040 | 500  | 0.4657          |
| 0.3595        | 47.5248 | 600  | 0.4665          |
| 0.3455        | 55.4455 | 700  | 0.4821          |
| 0.3405        | 63.3663 | 800  | 0.4851          |
| 0.3349        | 71.2871 | 900  | 0.4916          |
| 0.3289        | 79.2079 | 1000 | 0.4928          |
| 0.329         | 87.1287 | 1100 | 0.4968          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1