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--- |
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library_name: transformers |
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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: 0.2953 |
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- Wer: 11.3276 |
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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: 12 |
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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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| 0.5452 | 0.4839 | 15 | 0.3714 | 23.2724 | |
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| 0.2911 | 0.9677 | 30 | 0.2866 | 18.6494 | |
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| 0.1304 | 1.4516 | 45 | 0.2713 | 13.6270 | |
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| 0.1196 | 1.9355 | 60 | 0.2595 | 12.7436 | |
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| 0.0595 | 2.4194 | 75 | 0.2615 | 11.8964 | |
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| 0.043 | 2.9032 | 90 | 0.2700 | 13.0098 | |
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| 0.0229 | 3.3871 | 105 | 0.2854 | 15.4786 | |
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| 0.0176 | 3.8710 | 120 | 0.2747 | 12.9856 | |
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| 0.0101 | 4.3548 | 135 | 0.2882 | 11.1340 | |
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| 0.0069 | 4.8387 | 150 | 0.2953 | 11.3276 | |
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### Framework versions |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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