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--- |
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license: apache-2.0 |
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base_model: smerchi/Arabic-Morocco-Speech_To_Text |
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tags: |
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- generated_from_trainer |
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datasets: |
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- eniafou/data_cleverlytics |
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metrics: |
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- wer |
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model-index: |
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- name: Arabic-Morocco-Speech_To_Text-2 |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: clevelytics-INWI |
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type: eniafou/data_cleverlytics |
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metrics: |
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- name: Wer |
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type: wer |
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value: 38.64455659697188 |
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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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# Arabic-Morocco-Speech_To_Text-2 |
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This model is a fine-tuned version of [smerchi/Arabic-Morocco-Speech_To_Text](https://huggingface.co./smerchi/Arabic-Morocco-Speech_To_Text) on the clevelytics-INWI dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5924 |
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- Wer: 38.6446 |
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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: 1e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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_steps: 50 |
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- num_epochs: 15 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 0.1426 | 1.0 | 30 | 0.5924 | 38.6446 | |
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| 0.044 | 2.0 | 60 | 0.6992 | 40.0865 | |
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| 0.0273 | 3.0 | 90 | 0.7299 | 41.5285 | |
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| 0.018 | 4.0 | 120 | 0.7187 | 39.9423 | |
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| 0.0072 | 5.0 | 150 | 0.7263 | 39.6539 | |
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| 0.0056 | 6.0 | 180 | 0.7556 | 40.1586 | |
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| 0.0037 | 7.0 | 210 | 0.7415 | 38.9329 | |
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| 0.0025 | 8.0 | 240 | 0.7665 | 38.9329 | |
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| 0.0011 | 9.0 | 270 | 0.7764 | 38.9329 | |
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| 0.0005 | 10.0 | 300 | 0.7848 | 39.9423 | |
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| 0.0004 | 11.0 | 330 | 0.7912 | 39.1492 | |
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| 0.0004 | 12.0 | 360 | 0.7953 | 39.3655 | |
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| 0.0004 | 13.0 | 390 | 0.7980 | 39.1492 | |
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| 0.0004 | 14.0 | 420 | 0.7998 | 39.2213 | |
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| 0.0003 | 15.0 | 450 | 0.8003 | 39.2213 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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