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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-atco2-asr |
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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-atco2-asr |
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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: 1.0761 |
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- Wer: 61.4769 |
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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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| 1.9617 | 12.5 | 50 | 1.6264 | 47.3310 | |
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| 0.5856 | 25.0 | 100 | 1.2440 | 43.5498 | |
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| 0.2968 | 37.5 | 150 | 1.1000 | 55.7829 | |
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| 0.0977 | 50.0 | 200 | 1.0685 | 44.0391 | |
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| 0.0418 | 62.5 | 250 | 1.0645 | 51.2456 | |
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| 0.0178 | 75.0 | 300 | 1.0692 | 41.9929 | |
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| 0.0142 | 87.5 | 350 | 1.0742 | 61.3434 | |
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| 0.0124 | 100.0 | 400 | 1.0761 | 61.4769 | |
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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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