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--- |
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license: apache-2.0 |
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base_model: facebook/hubert-xlarge-ll60k |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: hubert-xlarge-ll60k_arabic |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# hubert-xlarge-ll60k_arabic |
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This model is a fine-tuned version of [facebook/hubert-xlarge-ll60k](https://huggingface.co/facebook/hubert-xlarge-ll60k) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1133 |
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- Wer: 0.6646 |
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- Per: 0.6706 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 20 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Per | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:| |
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| 13.7253 | 1.0 | 1637 | 3.3328 | 1.0 | 1.0 | |
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| 3.3354 | 2.0 | 3274 | 3.2847 | 1.0 | 1.0 | |
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| 3.304 | 3.0 | 4911 | 3.2375 | 1.0 | 1.0 | |
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| 3.2655 | 4.0 | 6548 | 3.2143 | 1.0 | 1.0 | |
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| 3.2242 | 5.0 | 8185 | 3.1874 | 1.0 | 1.0 | |
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| 3.1556 | 6.0 | 9822 | 3.0734 | 1.0 | 1.0 | |
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| 3.0485 | 7.0 | 11459 | 2.9548 | 1.0 | 1.0 | |
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| 2.935 | 8.0 | 13096 | 2.8378 | 0.9043 | 0.9171 | |
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| 2.8158 | 9.0 | 14733 | 2.7023 | 0.8971 | 0.9087 | |
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| 2.7185 | 10.0 | 16370 | 2.5982 | 0.8865 | 0.8997 | |
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| 2.6406 | 11.0 | 18007 | 2.5032 | 0.8453 | 0.8571 | |
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| 2.5721 | 12.0 | 19644 | 2.4385 | 0.8179 | 0.8291 | |
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| 2.5136 | 13.0 | 21281 | 2.3810 | 0.7994 | 0.8097 | |
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| 2.457 | 14.0 | 22918 | 2.3041 | 0.7792 | 0.7896 | |
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| 2.4104 | 15.0 | 24555 | 2.2466 | 0.7588 | 0.7695 | |
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| 2.3711 | 16.0 | 26192 | 2.2066 | 0.7321 | 0.7417 | |
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| 2.3365 | 17.0 | 27829 | 2.1757 | 0.7002 | 0.7072 | |
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| 2.3109 | 18.0 | 29466 | 2.1412 | 0.6771 | 0.6828 | |
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| 2.2857 | 19.0 | 31103 | 2.1265 | 0.6722 | 0.6785 | |
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| 2.2757 | 20.0 | 32740 | 2.1133 | 0.6646 | 0.6706 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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