---
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_wolof_text_speech_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_finetuned_wolof_text_speech_1

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: 0.3067

## 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: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch    | Step  | Validation Loss |
|:-------------:|:--------:|:-----:|:---------------:|
| 0.3436        | 10.6809  | 1000  | 0.3205          |
| 0.3259        | 21.3618  | 2000  | 0.3155          |
| 0.3132        | 32.0427  | 3000  | 0.3102          |
| 0.3064        | 42.7236  | 4000  | 0.3078          |
| 0.2966        | 53.4045  | 5000  | 0.3080          |
| 0.2966        | 64.0854  | 6000  | 0.3072          |
| 0.2915        | 74.7664  | 7000  | 0.3066          |
| 0.2868        | 85.4473  | 8000  | 0.3081          |
| 0.2864        | 96.1282  | 9000  | 0.3066          |
| 0.2867        | 106.8091 | 10000 | 0.3067          |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0