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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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base_model: openai/whisper-tiny |
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tags: |
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- generated_from_trainer |
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datasets: |
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- PolyAI/minds14 |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-tiny-minds14-us-vickymm |
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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: minds14-us (whisper-tiny) |
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type: PolyAI/minds14 |
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config: en-US |
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split: train[450:] |
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args: en-US |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.7485242030696576 |
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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-minds14-us-vickymm |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the minds14-us (whisper-tiny) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4049 |
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- Wer: 0.7485 |
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- Wer Ortho: 0.7569 |
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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: 0.0003 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Wer Ortho | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:| |
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| 1.1149 | 1.79 | 100 | 0.5379 | 0.4097 | 0.4176 | |
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| 0.1705 | 3.57 | 200 | 0.7637 | 0.5762 | 0.5836 | |
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| 0.166 | 5.36 | 300 | 1.2479 | 0.5384 | 0.5416 | |
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| 0.2409 | 7.14 | 400 | 1.5261 | 0.6765 | 0.6619 | |
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| 0.2773 | 8.93 | 500 | 1.8106 | 0.7863 | 0.7816 | |
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| 0.2715 | 10.71 | 600 | 2.0421 | 0.7739 | 0.7841 | |
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| 0.2434 | 12.5 | 700 | 2.2664 | 0.7456 | 0.7514 | |
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| 0.1979 | 14.29 | 800 | 2.1956 | 0.6983 | 0.7039 | |
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| 0.1843 | 16.07 | 900 | 2.3711 | 0.8182 | 0.8229 | |
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| 0.1555 | 17.86 | 1000 | 2.4049 | 0.7485 | 0.7569 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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