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--- |
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language: |
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- ar |
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license: mit |
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base_model: distil-whisper/distil-large-v2 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- nadsoft/Jordan-Audio |
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metrics: |
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- wer |
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model-index: |
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- name: Hamsa distill alfa |
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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: nadsoft/Jordan-Audio |
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type: nadsoft/Jordan-Audio |
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metrics: |
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- name: Wer |
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type: wer |
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value: 45.223367697594504 |
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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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# Hamsa distill alfa |
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This model is a fine-tuned version of [distil-whisper/distil-large-v2](https://huggingface.co./distil-whisper/distil-large-v2) on the nadsoft/Jordan-Audio dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9732 |
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- Wer Ortho: 47.5105 |
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- Wer: 45.2234 |
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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: 0.0002 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: constant_with_warmup |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 8000 |
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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 Ortho | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:| |
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| 0.2094 | 7.04 | 2000 | 0.8198 | 48.5575 | 46.3918 | |
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| 0.0883 | 14.08 | 4000 | 0.9112 | 47.4174 | 44.6048 | |
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| 0.0662 | 21.13 | 6000 | 0.9644 | 46.8125 | 44.6277 | |
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| 0.0496 | 28.17 | 8000 | 0.9732 | 47.5105 | 45.2234 | |
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### Framework versions |
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- Transformers 4.35.0 |
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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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