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--- |
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license: apache-2.0 |
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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: openai/whisper-small.en |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: rishabhjain16/infer_myst |
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type: rishabhjain16/infer_myst |
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config: en |
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split: test |
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metrics: |
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- type: wer |
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value: 13.43 |
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name: WER |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: rishabhjain16/infer_pfs |
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type: rishabhjain16/infer_pfs |
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config: en |
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split: test |
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metrics: |
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- type: wer |
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value: 3.39 |
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name: WER |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: rishabhjain16/infer_cmu_9h |
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type: rishabhjain16/infer_cmu_9h |
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config: en |
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split: test |
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metrics: |
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- type: wer |
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value: 15.54 |
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name: WER |
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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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# openai/whisper-small.en |
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This model is a fine-tuned version of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.en) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3955 |
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- Wer: 11.3610 |
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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: 32 |
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- eval_batch_size: 32 |
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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: 500 |
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- training_steps: 4000 |
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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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| 0.2871 | 0.12 | 500 | 0.3313 | 12.0452 | |
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| 0.2339 | 1.11 | 1000 | 0.3023 | 12.9337 | |
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| 0.2437 | 2.1 | 1500 | 0.3038 | 12.7260 | |
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| 0.0485 | 3.09 | 2000 | 0.3246 | 11.1822 | |
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| 0.0834 | 4.07 | 2500 | 0.3510 | 11.8941 | |
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| 0.1024 | 5.06 | 3000 | 0.3645 | 11.6309 | |
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| 0.0208 | 6.05 | 3500 | 0.4008 | 10.8457 | |
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| 0.0328 | 7.03 | 4000 | 0.3955 | 11.3610 | |
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### Framework versions |
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- Transformers 4.27.0.dev0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.9.1.dev0 |
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- Tokenizers 0.13.2 |
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