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--- |
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license: apache-2.0 |
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base_model: openai/whisper-base.en |
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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: whisper-base.en-atcosim |
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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.en-atcosim |
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This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0634 |
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- Wer: 4.1443 |
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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: 128 |
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- eval_batch_size: 128 |
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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: 10 |
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- num_epochs: 100 |
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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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| 0.3402 | 8.33 | 500 | 0.0540 | 5.1398 | |
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| 0.0011 | 16.67 | 1000 | 0.0557 | 4.2693 | |
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| 0.0003 | 25.0 | 1500 | 0.0571 | 3.9128 | |
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| 0.0002 | 33.33 | 2000 | 0.0583 | 3.7553 | |
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| 0.0001 | 41.67 | 2500 | 0.0594 | 3.5840 | |
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| 0.0001 | 50.0 | 3000 | 0.0603 | 3.4729 | |
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| 0.0001 | 58.33 | 3500 | 0.0613 | 3.3571 | |
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| 0.0001 | 66.67 | 4000 | 0.0619 | 3.3108 | |
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| 0.0 | 75.0 | 4500 | 0.0625 | 4.2369 | |
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| 0.0 | 83.33 | 5000 | 0.0630 | 4.2184 | |
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| 0.0 | 91.67 | 5500 | 0.0633 | 4.1489 | |
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| 0.0 | 100.0 | 6000 | 0.0634 | 4.1443 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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