README.md

---
library_name: transformers
license: mit
base_model: Timmyafolami/speecht5_female_british_english
tags:
- generated_from_trainer
model-index:
- name: speecht5_female_british_english_1
  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_1

This model is a fine-tuned version of [Timmyafolami/speecht5_female_british_english](https://huggingface.co/Timmyafolami/speecht5_female_british_english) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4200

## 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: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.4698        | 0.4890 | 100  | 0.4438          |
| 0.4769        | 0.9780 | 200  | 0.4457          |
| 0.4529        | 1.4670 | 300  | 0.4540          |
| 0.4553        | 1.9560 | 400  | 0.4345          |
| 0.4522        | 2.4450 | 500  | 0.4331          |
| 0.4539        | 2.9340 | 600  | 0.4259          |
| 0.4462        | 3.4230 | 700  | 0.4236          |
| 0.4408        | 3.9120 | 800  | 0.4333          |
| 0.4286        | 4.4010 | 900  | 0.4167          |
| 0.4294        | 4.8900 | 1000 | 0.4200          |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.1.0+cu118
- Datasets 3.0.1
- Tokenizers 0.20.0