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--- |
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language: |
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- nl |
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license: apache-2.0 |
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base_model: openai/whisper-large-v2 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Large 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 Large V2 |
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3074 |
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- Wer: 8.5830 |
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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: 3e-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: 20 |
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- num_epochs: 5 |
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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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| 0.5501 | 0.49 | 30 | 0.2986 | 11.6004 | |
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| 0.2904 | 0.98 | 60 | 0.2648 | 10.1717 | |
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| 0.1426 | 1.48 | 90 | 0.2685 | 10.5448 | |
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| 0.1339 | 1.97 | 120 | 0.2609 | 8.9349 | |
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| 0.0571 | 2.46 | 150 | 0.2817 | 8.9135 | |
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| 0.0585 | 2.95 | 180 | 0.2846 | 8.5830 | |
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| 0.0291 | 3.44 | 210 | 0.3041 | 10.2783 | |
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| 0.0201 | 3.93 | 240 | 0.2999 | 8.6470 | |
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| 0.0115 | 4.43 | 270 | 0.3039 | 8.4551 | |
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| 0.0084 | 4.92 | 300 | 0.3074 | 8.5830 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.0 |
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