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--- |
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language: |
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- ml |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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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 ML - Bharat Ramanathan |
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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: mozilla-foundation/common_voice_11_0 |
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type: mozilla-foundation/common_voice_11_0 |
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config: ml |
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split: test |
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metrics: |
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- type: wer |
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value: 34.16 |
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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: google/fleurs |
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type: google/fleurs |
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config: ml_in |
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split: test |
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metrics: |
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- type: wer |
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value: 53.29 |
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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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# Whisper Base ML - Bharat Ramanathan |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2456 |
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- Wer: 48.0535 |
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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: 64 |
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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: 5000 |
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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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| 0.7249 | 4.02 | 500 | 0.3786 | 70.8029 | |
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| 0.3377 | 4.02 | 1000 | 0.2477 | 56.2044 | |
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| 0.25 | 9.01 | 1500 | 0.2241 | 49.5134 | |
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| 0.2009 | 14.01 | 2000 | 0.2158 | 46.9586 | |
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| 0.1674 | 19.0 | 2500 | 0.2188 | 49.3917 | |
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| 0.142 | 23.02 | 3000 | 0.2194 | 49.6350 | |
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| 0.123 | 28.01 | 3500 | 0.2280 | 49.7567 | |
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| 0.1103 | 33.01 | 4000 | 0.2424 | 51.4599 | |
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| 0.0999 | 38.0 | 4500 | 0.2435 | 50.6083 | |
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| 0.0951 | 42.02 | 5000 | 0.2456 | 48.0535 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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