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--- |
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license: apache-2.0 |
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base_model: facebook/hubert-base-ls960 |
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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_base_arabic_mdd |
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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_base_arabic_mdd |
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This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.2265 |
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- Wer: 1.0 |
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- Per: 1.0 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Per | |
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|:-------------:|:-----:|:-----:|:---------------:|:---:|:---:| |
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| 6.526 | 1.0 | 1637 | 3.3650 | 1.0 | 1.0 | |
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| 3.2555 | 2.0 | 3274 | 3.2755 | 1.0 | 1.0 | |
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| 3.2548 | 3.0 | 4911 | 3.2238 | 1.0 | 1.0 | |
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| 3.2385 | 4.0 | 6548 | 3.2845 | 1.0 | 1.0 | |
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| 3.2358 | 5.0 | 8185 | 3.2271 | 1.0 | 1.0 | |
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| 3.237 | 6.0 | 9822 | 3.2473 | 1.0 | 1.0 | |
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| 3.2622 | 7.0 | 11459 | 3.2289 | 1.0 | 1.0 | |
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| 3.2614 | 8.0 | 13096 | 3.2283 | 1.0 | 1.0 | |
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| 3.224 | 9.0 | 14733 | 3.2249 | 1.0 | 1.0 | |
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| 3.2221 | 10.0 | 16370 | 3.2335 | 1.0 | 1.0 | |
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| 3.222 | 11.0 | 18007 | 3.2357 | 1.0 | 1.0 | |
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| 3.2218 | 12.0 | 19644 | 3.2491 | 1.0 | 1.0 | |
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| 3.2183 | 13.0 | 21281 | 3.2446 | 1.0 | 1.0 | |
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| 3.2181 | 14.0 | 22918 | 3.2416 | 1.0 | 1.0 | |
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| 3.2164 | 15.0 | 24555 | 3.2259 | 1.0 | 1.0 | |
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| 3.2148 | 16.0 | 26192 | 3.2249 | 1.0 | 1.0 | |
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| 3.2139 | 17.0 | 27829 | 3.2327 | 1.0 | 1.0 | |
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| 3.2133 | 18.0 | 29466 | 3.2251 | 1.0 | 1.0 | |
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| 3.2128 | 19.0 | 31103 | 3.2288 | 1.0 | 1.0 | |
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| 3.2113 | 20.0 | 32740 | 3.2265 | 1.0 | 1.0 | |
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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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