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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-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-atco2-asr |
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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: 0.9060 |
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- Wer: 49.2883 |
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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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| 0.9897 | 12.5 | 50 | 0.8748 | 70.4626 | |
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| 0.0447 | 25.0 | 100 | 0.8519 | 52.0463 | |
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| 0.0087 | 37.5 | 150 | 0.8772 | 39.2794 | |
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| 0.0043 | 50.0 | 200 | 0.8891 | 39.3683 | |
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| 0.0034 | 62.5 | 250 | 0.8976 | 49.4217 | |
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| 0.0027 | 75.0 | 300 | 0.9022 | 49.1548 | |
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| 0.0024 | 87.5 | 350 | 0.9050 | 49.2438 | |
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| 0.0023 | 100.0 | 400 | 0.9060 | 49.2883 | |
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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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