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--- |
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license: apache-2.0 |
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base_model: openai/whisper-medium |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- rishabhjain16/kaggle_albanian |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper medium to Kaggle Albanian |
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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: rishabhjain16/kaggle_albanian default |
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type: rishabhjain16/kaggle_albanian |
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metrics: |
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- name: Wer |
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type: wer |
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value: 26.91 |
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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 medium to Kaggle Albanian |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co./openai/whisper-medium) on the rishabhjain16/kaggle_albanian default dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3393 |
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- Wer: 26.91 |
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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: 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: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 5500 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Step | Validation Loss | Wer | |
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|:-------------:|:----:|:---------------:|:-------:| |
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| 0.4716 | 500 | 0.5687 | 45.1093 | |
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| 0.3883 | 1000 | 0.4522 | 36.6402 | |
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| 0.3695 | 1500 | 0.4099 | 33.9459 | |
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| 0.3375 | 2000 | 0.3783 | 31.4906 | |
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| 0.2146 | 2500 | 0.3662 | 29.5184 | |
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| 0.2010 | 3000 | 0.3638 | 29.7474 | |
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| 0.1799 | 3500 | 0.3519 | 28.6020 | |
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| 0.1791 | 4000 | 0.3455 | 28.3978 | |
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| 0.0621 | 4500 | 0.3592 | 27.1452 | |
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| 0.0679 | 5000 | 0.3561 | 27.1079 | |
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| 0.0687 | 5500 | 0.3560 | 26.9186 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 1.14.0a0+44dac51 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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