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--- |
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license: apache-2.0 |
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base_model: openai/whisper-medium.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-medium.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-medium.en-atcosim |
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This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0542 |
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- Wer: 1.4169 |
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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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| 0.2006 | 8.33 | 500 | 0.0410 | 1.2456 | |
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| 0.0003 | 16.67 | 1000 | 0.0443 | 1.2224 | |
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| 0.0001 | 25.0 | 1500 | 0.0473 | 1.1854 | |
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| 0.0 | 33.33 | 2000 | 0.0489 | 1.2039 | |
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| 0.0 | 41.67 | 2500 | 0.0501 | 1.2224 | |
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| 0.0 | 50.0 | 3000 | 0.0511 | 1.2873 | |
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| 0.0 | 58.33 | 3500 | 0.0520 | 1.3012 | |
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| 0.0 | 66.67 | 4000 | 0.0527 | 1.3197 | |
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| 0.0 | 75.0 | 4500 | 0.0533 | 1.3891 | |
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| 0.0 | 83.33 | 5000 | 0.0537 | 1.4077 | |
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| 0.0 | 91.67 | 5500 | 0.0541 | 1.4169 | |
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| 0.0 | 100.0 | 6000 | 0.0542 | 1.4169 | |
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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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