---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-xlsr-darija
  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. -->

# wav2vec2-large-xlsr-darija

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1197
- Wer: 0.7182

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 2.9899        | 3.3003  | 500  | 3.0004          | 0.9941 |
| 1.4295        | 6.6007  | 1000 | 1.1875          | 0.9684 |
| 0.8642        | 9.9010  | 1500 | 0.9675          | 0.8853 |
| 0.4967        | 13.2013 | 2000 | 0.9604          | 0.8331 |
| 0.6898        | 16.5017 | 2500 | 0.9469          | 0.7793 |
| 0.6133        | 19.8020 | 3000 | 0.9454          | 0.7450 |
| 0.3807        | 23.1023 | 3500 | 1.0373          | 0.7361 |
| 0.2648        | 26.4026 | 4000 | 1.0828          | 0.7222 |
| 0.2119        | 29.7030 | 4500 | 1.1177          | 0.7185 |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1