---
license: apache-2.0
base_model: facebook/hubert-large-ll60k
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: hubert-large-ll60k_arabic
  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. -->

# hubert-large-ll60k_arabic

This model is a fine-tuned version of [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0197
- Wer: 1.0
- Per: 1.0

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    | Per    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 15.0257       | 1.0   | 1637  | 4.0741          | 1.0    | 1.0    |
| 4.0101        | 2.0   | 3274  | 4.0442          | 1.0    | 1.0    |
| 3.9446        | 3.0   | 4911  | 4.0444          | 1.0    | 1.0    |
| 3.9302        | 4.0   | 6548  | 4.0440          | 1.0    | 1.0    |
| 3.9456        | 5.0   | 8185  | 4.0453          | 1.0    | 1.0    |
| 4.0388        | 6.0   | 9822  | 4.0415          | 1.0    | 1.0    |
| 3.9297        | 7.0   | 11459 | 4.0442          | 1.0    | 1.0    |
| 3.9443        | 8.0   | 13096 | 4.0395          | 1.0    | 1.0    |
| 3.9362        | 9.0   | 14733 | 4.0647          | 1.0000 | 1.0000 |
| 3.9785        | 10.0  | 16370 | 4.3751          | 1.0    | 1.0    |
| 3.9934        | 11.0  | 18007 | 4.0295          | 1.0    | 1.0    |
| 3.9361        | 12.0  | 19644 | 4.0276          | 1.0    | 1.0    |
| 3.913         | 13.0  | 21281 | 4.0239          | 1.0    | 1.0    |
| 3.9023        | 14.0  | 22918 | 4.0227          | 1.0    | 1.0    |
| 3.8957        | 15.0  | 24555 | 4.0228          | 1.0    | 1.0    |
| 3.9021        | 16.0  | 26192 | 4.0207          | 1.0    | 1.0    |
| 3.8897        | 17.0  | 27829 | 4.0213          | 1.0    | 1.0    |
| 3.8939        | 18.0  | 29466 | 4.0213          | 1.0    | 1.0    |
| 3.8949        | 19.0  | 31103 | 4.0204          | 1.0    | 1.0    |
| 3.8987        | 20.0  | 32740 | 4.0197          | 1.0    | 1.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0