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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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datasets: |
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- model_eng |
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metrics: |
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- wer |
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model-index: |
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- name: VoiceMath-Tiny-Quad |
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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: model_eng |
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type: model_eng |
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config: default |
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split: None |
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args: default |
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metrics: |
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- name: Wer |
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type: wer |
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value: 11.506172839506174 |
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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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# VoiceMath-Tiny-Quad |
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This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the model_eng dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4370 |
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- Wer: 11.5062 |
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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: 8 |
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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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- num_epochs: 20 |
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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 | 1.0 | 100 | 0.3667 | 17.2346 | |
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| No log | 2.0 | 200 | 0.3248 | 11.3086 | |
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| No log | 3.0 | 300 | 0.3718 | 12.4444 | |
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| No log | 4.0 | 400 | 0.3725 | 12.0 | |
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| 0.1807 | 5.0 | 500 | 0.3931 | 11.6049 | |
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| 0.1807 | 6.0 | 600 | 0.4150 | 11.7531 | |
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| 0.1807 | 7.0 | 700 | 0.4069 | 11.5556 | |
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| 0.1807 | 8.0 | 800 | 0.4145 | 11.5062 | |
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| 0.1807 | 9.0 | 900 | 0.4177 | 11.6543 | |
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| 0.0012 | 10.0 | 1000 | 0.4221 | 11.6049 | |
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| 0.0012 | 11.0 | 1100 | 0.4247 | 11.5062 | |
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| 0.0012 | 12.0 | 1200 | 0.4270 | 11.5062 | |
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| 0.0012 | 13.0 | 1300 | 0.4293 | 11.6049 | |
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| 0.0012 | 14.0 | 1400 | 0.4314 | 11.6543 | |
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| 0.0002 | 15.0 | 1500 | 0.4329 | 11.6543 | |
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| 0.0002 | 16.0 | 1600 | 0.4342 | 11.6543 | |
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| 0.0002 | 17.0 | 1700 | 0.4354 | 11.5062 | |
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| 0.0002 | 18.0 | 1800 | 0.4363 | 11.5062 | |
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| 0.0002 | 19.0 | 1900 | 0.4368 | 11.5062 | |
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| 0.0002 | 20.0 | 2000 | 0.4370 | 11.5062 | |
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### Framework versions |
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- Transformers 4.30.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.13.3 |
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