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--- |
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license: apache-2.0 |
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base_model: openai/whisper-large-v3 |
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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-v3-finetuned-5 |
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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-v3-finetuned-5 |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co./openai/whisper-large-v3) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3599 |
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- Wer: 50.9574 |
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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-08 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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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: 10 |
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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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| 0.934 | 1.0 | 7532 | 0.9560 | 16.8450 | |
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| 0.8091 | 2.0 | 15064 | 0.5512 | 14.8480 | |
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| 1.8408 | 3.0 | 22596 | 0.4653 | 14.6010 | |
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| 0.1874 | 4.0 | 30128 | 0.4304 | 14.4735 | |
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| 0.0178 | 5.0 | 37660 | 0.3972 | 14.2372 | |
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| 1.2841 | 6.0 | 45192 | 0.3756 | 53.3820 | |
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| 0.0041 | 7.0 | 52724 | 0.3663 | 49.1462 | |
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| 0.3521 | 8.0 | 60256 | 0.3628 | 50.0624 | |
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| 0.0849 | 9.0 | 67788 | 0.3604 | 51.1061 | |
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| 1.2129 | 10.0 | 75320 | 0.3599 | 50.9574 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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