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--- |
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license: apache-2.0 |
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base_model: openai/whisper-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Whisper-base-Arabic-phoneme |
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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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# Whisper-base-Arabic-phoneme |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2151 |
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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: 0.001 |
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- train_batch_size: 6 |
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- eval_batch_size: 6 |
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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_steps: 50 |
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- num_epochs: 10 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.0622 | 1.0 | 546 | 0.2189 | |
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| 0.032 | 2.0 | 1092 | 0.1893 | |
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| 0.0446 | 3.0 | 1638 | 0.1964 | |
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| 0.0211 | 4.0 | 2184 | 0.1998 | |
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| 0.0276 | 5.0 | 2730 | 0.1909 | |
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| 0.0104 | 6.0 | 3276 | 0.2183 | |
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| 0.0114 | 7.0 | 3822 | 0.2049 | |
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| 0.0046 | 8.0 | 4368 | 0.2075 | |
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| 0.0029 | 9.0 | 4914 | 0.2086 | |
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| 0.0018 | 10.0 | 5460 | 0.2151 | |
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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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