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--- |
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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-dv |
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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: PolyAI/minds14 |
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type: PolyAI/minds14 |
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config: en-US |
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split: train |
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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: 57.438016528925615 |
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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-dv |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4917 |
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- Wer Ortho: 58.5441 |
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- Wer: 57.4380 |
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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: 16 |
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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: constant_with_warmup |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 5000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:| |
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| 0.0013 | 17.86 | 500 | 1.0739 | 56.0148 | 55.3719 | |
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| 0.0003 | 35.71 | 1000 | 1.1575 | 54.3492 | 53.6009 | |
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| 0.0002 | 53.57 | 1500 | 1.2226 | 55.3979 | 54.7226 | |
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| 0.0001 | 71.43 | 2000 | 1.2711 | 56.6934 | 55.4900 | |
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| 0.0001 | 89.29 | 2500 | 1.3089 | 56.1999 | 55.1948 | |
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| 0.0 | 107.14 | 3000 | 1.3487 | 55.4596 | 54.4864 | |
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| 0.0 | 125.0 | 3500 | 1.3865 | 56.4466 | 55.5490 | |
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| 0.0 | 142.86 | 4000 | 1.4259 | 58.9759 | 57.6741 | |
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| 0.0 | 160.71 | 4500 | 1.4563 | 58.2973 | 57.0838 | |
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| 0.0 | 178.57 | 5000 | 1.4917 | 58.5441 | 57.4380 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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