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--- |
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license: apache-2.0 |
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base_model: openai/whisper-large-v2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Whisper-small-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-small-Arabic-phoneme |
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2263 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.0558 | 1.0 | 546 | 0.2097 | |
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| 0.0475 | 2.0 | 1092 | 0.2145 | |
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| 0.0471 | 3.0 | 1638 | 0.1868 | |
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| 0.022 | 4.0 | 2184 | 0.1879 | |
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| 0.0185 | 5.0 | 2730 | 0.1933 | |
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| 0.0118 | 6.0 | 3276 | 0.1861 | |
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| 0.0148 | 7.0 | 3822 | 0.1903 | |
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| 0.0044 | 8.0 | 4368 | 0.2087 | |
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| 0.0045 | 9.0 | 4914 | 0.2150 | |
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| 0.0027 | 10.0 | 5460 | 0.2263 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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