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base_model: openai/whisper-base |
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language: |
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- en |
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license: apache-2.0 |
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metrics: |
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- wer |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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model-index: |
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- name: Whisper Small Five - Chee Li |
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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 Small Five - Chee Li |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co./openai/whisper-base) on the Google Fleurs dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4348 |
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- Wer: 21.6569 |
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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: 850 |
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- training_steps: 8000 |
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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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| 0.3047 | 1.0560 | 1000 | 0.4050 | 22.7955 | |
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| 0.1771 | 2.1119 | 2000 | 0.3811 | 21.0509 | |
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| 0.1176 | 3.1679 | 3000 | 0.3864 | 21.3429 | |
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| 0.0852 | 4.2239 | 4000 | 0.3962 | 20.7720 | |
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| 0.0443 | 5.2798 | 5000 | 0.4100 | 21.4523 | |
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| 0.0265 | 6.3358 | 6000 | 0.4234 | 21.3823 | |
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| 0.0254 | 7.3918 | 7000 | 0.4310 | 21.7783 | |
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| 0.0188 | 8.4477 | 8000 | 0.4348 | 21.6569 | |
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### Framework versions |
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- Transformers 4.43.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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