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--- |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: Mal_ASR_Whisper_small_imasc_1000 |
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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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# Mal_ASR_Whisper_small_imasc_1000 |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0642 |
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- Wer: 52.2853 |
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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: 32 |
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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: 2000 |
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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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| 0.3098 | 0.74 | 200 | 0.2613 | 200.6810 | |
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| 0.1009 | 1.48 | 400 | 0.0988 | 54.5952 | |
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| 0.0559 | 2.22 | 600 | 0.0722 | 44.6184 | |
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| 0.0518 | 2.96 | 800 | 0.0608 | 39.1631 | |
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| 0.0285 | 3.7 | 1000 | 0.0573 | 46.0858 | |
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| 0.0166 | 4.44 | 1200 | 0.0567 | 46.7036 | |
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| 0.0082 | 5.19 | 1400 | 0.0589 | 50.9513 | |
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| 0.0075 | 5.93 | 1600 | 0.0590 | 65.6252 | |
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| 0.0031 | 6.67 | 1800 | 0.0629 | 57.2913 | |
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| 0.0018 | 7.41 | 2000 | 0.0642 | 52.2853 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.12.0 |
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- Tokenizers 0.14.0 |
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