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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-tiny.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: whispherMusicTiny
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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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# whispherMusicTiny
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This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2928
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- Rouge1: 47.848
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- Rouge2: 21.6764
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- Rougel: 35.5314
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- Rougelsum: 35.4639
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- Gen Len: 40.82
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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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| 2.8872 | 1.0 | 983 | 2.1971 | 37.1303 | 10.7391 | 30.2675 | 30.2912 | 38.88 |
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| 2.3087 | 2.0 | 1966 | 1.9342 | 43.2573 | 16.4043 | 32.2734 | 32.2172 | 37.88 |
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| 2.0355 | 3.0 | 2949 | 1.6786 | 42.6805 | 16.4311 | 31.9712 | 31.9628 | 32.77 |
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| 1.7976 | 4.0 | 3932 | 1.4354 | 46.1514 | 20.0287 | 34.8065 | 34.7311 | 34.71 |
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| 1.5571 | 5.0 | 4915 | 1.2928 | 47.848 | 21.6764 | 35.5314 | 35.4639 | 40.82 |
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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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