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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: 0.0963 |
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- Rouge1: 90.9672 |
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- Rouge2: 87.2313 |
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- Rougel: 89.5998 |
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- Rougelsum: 89.7339 |
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- Gen Len: 61.55 |
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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-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: 10 |
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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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| 1.1983 | 1.0 | 1361 | 0.8877 | 47.1749 | 24.9442 | 38.1501 | 38.1934 | 56.0 | |
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| 0.8787 | 2.0 | 2722 | 0.6673 | 53.2613 | 32.6244 | 45.2405 | 45.3614 | 58.53 | |
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| 0.6983 | 3.0 | 4083 | 0.4976 | 57.5956 | 38.8147 | 51.0468 | 51.1725 | 59.97 | |
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| 0.5077 | 4.0 | 5444 | 0.3677 | 65.1283 | 49.4333 | 59.061 | 59.107 | 58.67 | |
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| 0.3955 | 5.0 | 6805 | 0.2650 | 70.453 | 58.4358 | 66.2936 | 66.5477 | 59.05 | |
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| 0.2846 | 6.0 | 8166 | 0.1987 | 77.3147 | 67.0836 | 73.4161 | 73.6763 | 59.26 | |
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| 0.21 | 7.0 | 9527 | 0.1489 | 84.5594 | 78.1538 | 82.1324 | 82.1614 | 60.14 | |
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| 0.1598 | 8.0 | 10888 | 0.1196 | 88.5138 | 83.886 | 86.8481 | 86.9753 | 61.14 | |
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| 0.1213 | 9.0 | 12249 | 0.1023 | 91.0285 | 87.2329 | 89.6909 | 89.7877 | 61.19 | |
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| 0.1051 | 10.0 | 13610 | 0.0963 | 90.9672 | 87.2313 | 89.5998 | 89.7339 | 61.55 | |
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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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