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README.md
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---
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base_model: ''
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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: wav2BertMusicfreeze
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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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# wav2BertMusicfreeze
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3867
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- Rouge1: 27.1456
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- Rouge2: 7.625
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- Rougel: 20.1034
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- Rougelsum: 20.0485
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- Gen Len: 46.26
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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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| 5.1626 | 1.0 | 1361 | 3.9917 | 24.7464 | 5.7911 | 18.5211 | 18.5124 | 65.15 |
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| 3.4372 | 2.0 | 2722 | 3.0113 | 24.0633 | 5.6872 | 18.4731 | 18.4535 | 40.02 |
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| 2.9324 | 3.0 | 4083 | 2.6271 | 32.2681 | 8.0887 | 23.541 | 23.4982 | 54.76 |
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| 2.7227 | 4.0 | 5444 | 2.4558 | 29.1184 | 6.5853 | 21.5936 | 21.5896 | 48.21 |
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| 2.6377 | 5.0 | 6805 | 2.3867 | 27.1456 | 7.625 | 20.1034 | 20.0485 | 46.26 |
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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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