End of training
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README.md
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dataset:
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name: 'This is a dataset constructed from two datasets: ATCO2-ASR and ATCOSIM.'
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type: Jzuluaga/atcosim_corpus
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args: 'config: en, split: test small split [
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metrics:
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- name: Wer
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type: wer
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value:
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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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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the This is a dataset constructed from two datasets: ATCO2-ASR and ATCOSIM. dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer:
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## Model description
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### Training results
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| Training Loss | Epoch
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### Framework versions
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dataset:
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name: 'This is a dataset constructed from two datasets: ATCO2-ASR and ATCOSIM.'
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type: Jzuluaga/atcosim_corpus
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args: 'config: en, split: test small split [3000]'
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metrics:
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- name: Wer
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type: wer
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value: 8.947972793922798
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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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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the This is a dataset constructed from two datasets: ATCO2-ASR and ATCOSIM. dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2504
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- Wer: 8.9480
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## Model description
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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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| 0.0569 | 0.5319 | 100 | 0.3078 | 11.7922 |
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| 0.0307 | 1.0638 | 200 | 0.2728 | 10.8515 |
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| 0.0253 | 1.5957 | 300 | 0.2762 | 10.7190 |
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| 0.0066 | 2.1277 | 400 | 0.2551 | 9.0761 |
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| 0.0061 | 2.6596 | 500 | 0.2526 | 9.5795 |
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| 0.002 | 3.1915 | 600 | 0.2504 | 9.0010 |
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| 0.0019 | 3.7234 | 700 | 0.2561 | 9.2880 |
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| 0.0007 | 4.2553 | 800 | 0.2535 | 9.1026 |
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| 0.001 | 4.7872 | 900 | 0.2495 | 8.9259 |
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| 0.0003 | 5.3191 | 1000 | 0.2504 | 8.9480 |
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### Framework versions
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model.safetensors
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