---
license: apache-2.0
base_model: facebook/hubert-large-ll60k
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: huber_arabic_mdd_v2
  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. -->

# huber_arabic_mdd_v2

This model is a fine-tuned version of [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2858
- Wer: 0.0564
- Cer: 0.0459

## 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
| 3.3219        | 0.9951  | 102  | 3.2861          | 1.0    | 1.0    |
| 3.2152        | 2.0     | 205  | 3.1685          | 1.0    | 1.0    |
| 2.5507        | 2.9951  | 307  | 2.3708          | 0.9718 | 0.9819 |
| 0.5766        | 4.0     | 410  | 0.6351          | 0.2216 | 0.2046 |
| 0.2255        | 4.9951  | 512  | 0.3469          | 0.0889 | 0.0740 |
| 0.1148        | 6.0     | 615  | 0.3393          | 0.0776 | 0.0635 |
| 0.1222        | 6.9951  | 717  | 0.3368          | 0.0688 | 0.0535 |
| 0.075         | 8.0     | 820  | 0.2846          | 0.0610 | 0.0479 |
| 0.0631        | 8.9951  | 922  | 0.2948          | 0.0589 | 0.0453 |
| 0.0365        | 10.0    | 1025 | 0.2657          | 0.0552 | 0.0432 |
| 0.0484        | 10.9951 | 1127 | 0.2631          | 0.0573 | 0.0458 |
| 0.046         | 12.0    | 1230 | 0.2817          | 0.0572 | 0.0462 |
| 0.0326        | 12.9951 | 1332 | 0.2807          | 0.0587 | 0.0473 |
| 0.0379        | 14.0    | 1435 | 0.2682          | 0.0590 | 0.0479 |
| 0.0328        | 14.9951 | 1537 | 0.2773          | 0.0545 | 0.0440 |
| 0.0398        | 16.0    | 1640 | 0.2727          | 0.0576 | 0.0462 |
| 0.0165        | 16.9951 | 1742 | 0.2844          | 0.0573 | 0.0466 |
| 0.0201        | 18.0    | 1845 | 0.2812          | 0.0564 | 0.0455 |
| 0.0207        | 18.9951 | 1947 | 0.2860          | 0.0569 | 0.0465 |
| 0.0194        | 19.9024 | 2040 | 0.2858          | 0.0564 | 0.0459 |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1