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# hubert_base_arabic_mdd

This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2265
- 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

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer | Per |
|:-------------:|:-----:|:-----:|:---------------:|:---:|:---:|
| 6.526         | 1.0   | 1637  | 3.3650          | 1.0 | 1.0 |
| 3.2555        | 2.0   | 3274  | 3.2755          | 1.0 | 1.0 |
| 3.2548        | 3.0   | 4911  | 3.2238          | 1.0 | 1.0 |
| 3.2385        | 4.0   | 6548  | 3.2845          | 1.0 | 1.0 |
| 3.2358        | 5.0   | 8185  | 3.2271          | 1.0 | 1.0 |
| 3.237         | 6.0   | 9822  | 3.2473          | 1.0 | 1.0 |
| 3.2622        | 7.0   | 11459 | 3.2289          | 1.0 | 1.0 |
| 3.2614        | 8.0   | 13096 | 3.2283          | 1.0 | 1.0 |
| 3.224         | 9.0   | 14733 | 3.2249          | 1.0 | 1.0 |
| 3.2221        | 10.0  | 16370 | 3.2335          | 1.0 | 1.0 |
| 3.222         | 11.0  | 18007 | 3.2357          | 1.0 | 1.0 |
| 3.2218        | 12.0  | 19644 | 3.2491          | 1.0 | 1.0 |
| 3.2183        | 13.0  | 21281 | 3.2446          | 1.0 | 1.0 |
| 3.2181        | 14.0  | 22918 | 3.2416          | 1.0 | 1.0 |
| 3.2164        | 15.0  | 24555 | 3.2259          | 1.0 | 1.0 |
| 3.2148        | 16.0  | 26192 | 3.2249          | 1.0 | 1.0 |
| 3.2139        | 17.0  | 27829 | 3.2327          | 1.0 | 1.0 |
| 3.2133        | 18.0  | 29466 | 3.2251          | 1.0 | 1.0 |
| 3.2128        | 19.0  | 31103 | 3.2288          | 1.0 | 1.0 |
| 3.2113        | 20.0  | 32740 | 3.2265          | 1.0 | 1.0 |


### Framework versions

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

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/hubert-base-ls960", "model-index": [{"name": "hubert_base_arabic_mdd", "results": []}]}
transformers safetensors hubert automatic-speech-recognition generated_from_trainer base_model:facebook/hubert-base-ls960 license:apache-2.0 endpoints_compatible region:us