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--- |
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license: apache-2.0 |
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base_model: openai/whisper-base |
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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-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-atcosim |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0620 |
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- Wer: 2.9820 |
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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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| 0.152 | 8.33 | 500 | 0.0522 | 2.5282 | |
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| 0.001 | 16.67 | 1000 | 0.0539 | 3.0608 | |
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| 0.0003 | 25.0 | 1500 | 0.0556 | 3.0237 | |
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| 0.0002 | 33.33 | 2000 | 0.0567 | 3.0237 | |
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| 0.0001 | 41.67 | 2500 | 0.0579 | 3.0144 | |
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| 0.0001 | 50.0 | 3000 | 0.0588 | 2.9959 | |
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| 0.0001 | 58.33 | 3500 | 0.0597 | 3.0052 | |
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| 0.0001 | 66.67 | 4000 | 0.0604 | 3.0098 | |
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| 0.0 | 75.0 | 4500 | 0.0610 | 2.9867 | |
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| 0.0 | 83.33 | 5000 | 0.0615 | 2.9867 | |
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| 0.0 | 91.67 | 5500 | 0.0619 | 2.9774 | |
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| 0.0 | 100.0 | 6000 | 0.0620 | 2.9820 | |
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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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