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README.md
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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: 0.9861
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- Rouge1: 53.286
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- Rouge2: 27.5382
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- Rougel: 41.0668
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- Rougelsum: 41.0378
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- Gen Len: 43.05
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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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| 2.8241 | 1.0 | 983 | 2.1249 | 38.9009 | 11.883 | 30.4391 | 30.3769 | 40.86 |
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| 2.2297 | 2.0 | 1966 | 1.8067 | 40.8363 | 15.1119 | 32.2579 | 32.2289 | 38.59 |
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| 1.9156 | 3.0 | 2949 | 1.4818 | 43.5357 | 16.8437 | 33.6575 | 33.6616 | 35.11 |
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| 1.5954 | 4.0 | 3932 | 1.1631 | 48.9965 | 22.296 | 36.029 | 35.984 | 41.38 |
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| 1.2973 | 5.0 | 4915 | 0.9861 | 53.286 | 27.5382 | 41.0668 | 41.0378 | 43.05 |
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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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