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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: 0.7159 |
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- Rouge1: 51.0246 |
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- Rouge2: 28.8904 |
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- Rougel: 41.9694 |
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- Rougelsum: 41.9864 |
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- Gen Len: 57.62 |
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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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| 2.3604 | 1.0 | 1361 | 1.8562 | 29.3488 | 8.9477 | 21.7546 | 21.8458 | 49.94 | |
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| 1.8249 | 2.0 | 2722 | 1.4736 | 35.8525 | 12.9644 | 26.8468 | 26.8883 | 53.59 | |
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| 1.4928 | 3.0 | 4083 | 1.1557 | 36.0664 | 11.6796 | 26.6999 | 26.7209 | 65.05 | |
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| 1.149 | 4.0 | 5444 | 0.8567 | 45.1488 | 21.9847 | 35.4935 | 35.6169 | 56.51 | |
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| 0.862 | 5.0 | 6805 | 0.7159 | 51.0246 | 28.8904 | 41.9694 | 41.9864 | 57.62 | |
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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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