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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: wav2GPT2MusiNewStricD3E5
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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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# wav2GPT2MusiNewStricD3E5
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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: 2.2775
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- Rouge1: 37.5957
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- Rouge2: 10.8859
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- Rougel: 29.7559
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- Rougelsum: 29.7904
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- Gen Len: 33.19
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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: 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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| 3.1175 | 1.0 | 983 | 2.5054 | 36.6389 | 9.7932 | 28.7186 | 28.771 | 30.04 |
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| 2.6547 | 2.0 | 1966 | 2.3880 | 36.5342 | 10.597 | 29.092 | 29.0762 | 28.1 |
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| 2.5787 | 3.0 | 2949 | 2.3239 | 37.5926 | 10.5376 | 29.0149 | 29.0558 | 34.72 |
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| 2.5014 | 4.0 | 3932 | 2.2907 | 36.1982 | 9.8055 | 29.3162 | 29.3555 | 33.97 |
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| 2.4805 | 5.0 | 4915 | 2.2775 | 37.5957 | 10.8859 | 29.7559 | 29.7904 | 33.19 |
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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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