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--- |
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license: apache-2.0 |
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base_model: openai/whisper-base.en |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: whispherMusic |
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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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# whispherMusic |
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This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1914 |
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- Rouge1: 30.2379 |
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- Rouge2: 8.3781 |
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- Rougel: 25.6302 |
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- Rougelsum: 25.6217 |
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- Gen Len: 63.09 |
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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: 5e-05 |
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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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- 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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| |
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| 3.0989 | 1.0 | 959 | 2.7267 | 22.3544 | 3.7732 | 21.0972 | 21.1155 | 58.46 | |
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| 2.2959 | 2.0 | 1918 | 2.1774 | 23.3309 | 3.946 | 21.5505 | 21.497 | 61.0 | |
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| 1.8902 | 3.0 | 2877 | 1.7126 | 26.1869 | 5.372 | 23.7001 | 23.6849 | 61.0 | |
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| 1.5533 | 4.0 | 3836 | 1.3554 | 29.4291 | 7.42 | 25.1978 | 25.1515 | 62.55 | |
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| 1.2635 | 5.0 | 4795 | 1.1914 | 30.2379 | 8.3781 | 25.6302 | 25.6217 | 63.09 | |
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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 2.14.2 |
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- Tokenizers 0.13.3 |
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