README.md

---
license: apache-2.0
base_model: hassanaitnacer/wav2vec2-large-xlsr-moroccan-darija-v2
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-xlsr-moroccan-darija-v3
  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-moroccan-darija-v3

This model is a fine-tuned version of [hassanaitnacer/wav2vec2-large-xlsr-moroccan-darija-v2](https://huggingface.co/hassanaitnacer/wav2vec2-large-xlsr-moroccan-darija-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0553
- Wer: 0.1312

## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.103         | 0.5359 | 500  | 0.0638          | 0.1421 |
| 0.1234        | 1.0718 | 1000 | 0.0630          | 0.1394 |
| 0.0967        | 1.6077 | 1500 | 0.0553          | 0.1312 |


### Framework versions

- Transformers 4.43.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1