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--- |
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language: |
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- en |
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license: apache-2.0 |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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- h |
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- f |
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- '-' |
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- a |
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- s |
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- r |
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- l |
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- e |
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- d |
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- b |
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- o |
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metrics: |
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- wer |
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base_model: openai/whisper-tiny |
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model-index: |
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- name: Whisper Tiny English v2 |
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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 Tiny English v2 |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the commands_dataset dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0003 |
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- Wer: 3.3333 |
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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: 30 |
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- training_steps: 300 |
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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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| 0.0098 | 1.0 | 75 | 0.0038 | 3.3333 | |
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| 0.0035 | 2.0 | 150 | 0.0006 | 3.75 | |
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| 0.0031 | 3.0 | 225 | 0.0004 | 3.1667 | |
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| 0.0012 | 4.0 | 300 | 0.0003 | 3.3333 | |
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### Framework versions |
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- Transformers 4.37.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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