---
base_model: /content/drive/MyDrive/YorubaTTS/model/checkpoint-2000
tags:
- generated_from_trainer
model-index:
- name: 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. -->

# model

This model is a fine-tuned version of [/content/drive/MyDrive/YorubaTTS/model/checkpoint-2000](https://huggingface.co//content/drive/MyDrive/YorubaTTS/model/checkpoint-2000) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4271

## 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: 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: 500
- training_steps: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4687        | 1.62  | 500  | 0.4342          |
| 0.468         | 3.24  | 1000 | 0.4306          |
| 0.4736        | 4.86  | 1500 | 0.4309          |
| 0.4677        | 6.48  | 2000 | 0.4289          |
| 0.4698        | 8.1   | 2500 | 0.4288          |
| 0.463         | 9.72  | 3000 | 0.4280          |
| 0.4571        | 11.34 | 3500 | 0.4272          |
| 0.4615        | 12.96 | 4000 | 0.4271          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3