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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_10
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_10
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: 0.5464
- Wer: 0.0794
- Per: 0.0653
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 15.5246 | 1.0 | 164 | 3.2389 | 1.0 | 1.0 |
| 3.2601 | 2.0 | 328 | 3.1338 | 1.0 | 1.0 |
| 2.911 | 3.0 | 492 | 2.5069 | 0.9783 | 0.9855 |
| 2.0767 | 4.0 | 656 | 1.4979 | 0.6935 | 0.6882 |
| 1.2653 | 5.0 | 820 | 1.1179 | 0.4088 | 0.3823 |
| 0.8099 | 6.0 | 984 | 0.7524 | 0.2751 | 0.2546 |
| 0.5667 | 7.0 | 1148 | 0.6187 | 0.1586 | 0.1353 |
| 0.4083 | 8.0 | 1312 | 0.5950 | 0.1286 | 0.1082 |
| 0.3309 | 9.0 | 1476 | 0.4893 | 0.1137 | 0.0959 |
| 0.267 | 10.0 | 1640 | 0.5623 | 0.1146 | 0.0965 |
| 0.2349 | 11.0 | 1804 | 0.5520 | 0.0972 | 0.0810 |
| 0.2139 | 12.0 | 1968 | 0.6002 | 0.0939 | 0.0777 |
| 0.192 | 13.0 | 2132 | 0.5210 | 0.0888 | 0.0736 |
| 0.1559 | 14.0 | 2296 | 0.5566 | 0.0867 | 0.0712 |
| 0.1647 | 15.0 | 2460 | 0.5404 | 0.0886 | 0.0734 |
| 0.1537 | 16.0 | 2624 | 0.5280 | 0.0849 | 0.0702 |
| 0.1306 | 17.0 | 2788 | 0.5547 | 0.0790 | 0.0645 |
| 0.1269 | 18.0 | 2952 | 0.5435 | 0.0797 | 0.0654 |
| 0.1237 | 19.0 | 3116 | 0.5494 | 0.0802 | 0.0658 |
| 0.1258 | 20.0 | 3280 | 0.5464 | 0.0794 | 0.0653 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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