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--- |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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tags: |
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- generated_from_trainer |
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datasets: |
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- ravnursson_asr |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-tiny-fo |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: ravnursson_asr |
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type: ravnursson_asr |
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config: ravnursson_asr |
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split: None |
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args: ravnursson_asr |
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metrics: |
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- name: Wer |
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type: wer |
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value: 97.39999999999999 |
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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-tiny-fo |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co./openai/whisper-tiny) on the ravnursson_asr dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3908 |
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- Wer: 97.4000 |
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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: 16 |
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- eval_batch_size: 8 |
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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: 5 |
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- training_steps: 40 |
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- mixed_precision_training: Native AMP |
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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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| No log | 1.43 | 10 | 3.7140 | 118.4000 | |
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| No log | 2.86 | 20 | 2.6041 | 100.2 | |
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| 2.8026 | 4.29 | 30 | 2.4362 | 97.6 | |
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| 2.8026 | 5.71 | 40 | 2.3908 | 97.4000 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.1 |
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