tensorboard safetensors generated_from_trainer base_model:facebook/hubert-xlarge-ll60k license:apache-2.0 region:us
---
license: apache-2.0
base_model: facebook/hubert-xlarge-ll60k
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: hubert-xlarge-ll60k_arabic
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# hubert-xlarge-ll60k_arabic

This model is a fine-tuned version of [facebook/hubert-xlarge-ll60k](https://huggingface.co/facebook/hubert-xlarge-ll60k) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1133
- Wer: 0.6646
- Per: 0.6706

## 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    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 13.7253       | 1.0   | 1637  | 3.3328          | 1.0    | 1.0    |
| 3.3354        | 2.0   | 3274  | 3.2847          | 1.0    | 1.0    |
| 3.304         | 3.0   | 4911  | 3.2375          | 1.0    | 1.0    |
| 3.2655        | 4.0   | 6548  | 3.2143          | 1.0    | 1.0    |
| 3.2242        | 5.0   | 8185  | 3.1874          | 1.0    | 1.0    |
| 3.1556        | 6.0   | 9822  | 3.0734          | 1.0    | 1.0    |
| 3.0485        | 7.0   | 11459 | 2.9548          | 1.0    | 1.0    |
| 2.935         | 8.0   | 13096 | 2.8378          | 0.9043 | 0.9171 |
| 2.8158        | 9.0   | 14733 | 2.7023          | 0.8971 | 0.9087 |
| 2.7185        | 10.0  | 16370 | 2.5982          | 0.8865 | 0.8997 |
| 2.6406        | 11.0  | 18007 | 2.5032          | 0.8453 | 0.8571 |
| 2.5721        | 12.0  | 19644 | 2.4385          | 0.8179 | 0.8291 |
| 2.5136        | 13.0  | 21281 | 2.3810          | 0.7994 | 0.8097 |
| 2.457         | 14.0  | 22918 | 2.3041          | 0.7792 | 0.7896 |
| 2.4104        | 15.0  | 24555 | 2.2466          | 0.7588 | 0.7695 |
| 2.3711        | 16.0  | 26192 | 2.2066          | 0.7321 | 0.7417 |
| 2.3365        | 17.0  | 27829 | 2.1757          | 0.7002 | 0.7072 |
| 2.3109        | 18.0  | 29466 | 2.1412          | 0.6771 | 0.6828 |
| 2.2857        | 19.0  | 31103 | 2.1265          | 0.6722 | 0.6785 |
| 2.2757        | 20.0  | 32740 | 2.1133          | 0.6646 | 0.6706 |


### Framework versions

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