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---
license: apache-2.0
base_model: facebook/hubert-large-ls960-ft
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: hubert_arabic_mdd_50
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_arabic_mdd_50
This model is a fine-tuned version of [facebook/hubert-large-ls960-ft](https://huggingface.co/facebook/hubert-large-ls960-ft) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5409
- Wer: 0.0470
- Per: 0.0360
## 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
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Per |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 8.874 | 1.0 | 818 | 2.7367 | 1.0 | 1.0 |
| 1.4558 | 2.0 | 1636 | 0.6219 | 0.2525 | 0.2344 |
| 0.3775 | 3.0 | 2454 | 0.4014 | 0.0885 | 0.0742 |
| 0.2126 | 4.0 | 3272 | 0.4332 | 0.0656 | 0.0500 |
| 0.1658 | 5.0 | 4090 | 0.4970 | 0.0608 | 0.0464 |
| 0.1308 | 6.0 | 4908 | 0.4520 | 0.0591 | 0.0445 |
| 0.1058 | 7.0 | 5726 | 0.4513 | 0.0531 | 0.0407 |
| 0.0968 | 8.0 | 6544 | 0.4253 | 0.0548 | 0.0413 |
| 0.0871 | 9.0 | 7362 | 0.4232 | 0.0524 | 0.0405 |
| 0.0681 | 10.0 | 8180 | 0.4612 | 0.0508 | 0.0392 |
| 0.0651 | 11.0 | 8998 | 0.4978 | 0.0516 | 0.0394 |
| 0.0587 | 12.0 | 9816 | 0.5069 | 0.0512 | 0.0389 |
| 0.046 | 13.0 | 10634 | 0.5170 | 0.0489 | 0.0370 |
| 0.0439 | 14.0 | 11452 | 0.5758 | 0.0536 | 0.0417 |
| 0.0401 | 15.0 | 12270 | 0.5238 | 0.0500 | 0.0384 |
| 0.0346 | 16.0 | 13088 | 0.5668 | 0.0483 | 0.0368 |
| 0.0334 | 17.0 | 13906 | 0.5343 | 0.0459 | 0.0350 |
| 0.0336 | 18.0 | 14724 | 0.5242 | 0.0466 | 0.0361 |
| 0.0266 | 19.0 | 15542 | 0.5379 | 0.0467 | 0.0359 |
| 0.0245 | 20.0 | 16360 | 0.5409 | 0.0470 | 0.0360 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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