---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- automatic-speech-recognition
- abdouaziiz/fula_without_num
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-xls-r-300m-fula
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/abdouaziz/STT-FULFULDE/runs/779i64wa)
# wav2vec2-xls-r-300m-fula

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the ABDOUAZIIZ/FULA_WITHOUT_NUM - NA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4631
- Wer: 1.0057

## 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: 0.0003
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 30.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Wer    |
|:-------------:|:------:|:-----:|:---------------:|:------:|
| 0.4752        | 1.0309 | 2000  | 0.5954          | 1.0    |
| 0.3858        | 2.0619 | 4000  | 0.4631          | 1.0057 |
| 0.3571        | 3.0928 | 6000  | 0.4864          | 1.0073 |
| 0.2857        | 4.1237 | 8000  | 0.4647          | 1.0008 |
| 0.2628        | 5.1546 | 10000 | 0.5844          | 1.0065 |


### Framework versions

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