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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: wav2GPT2MusiNewStricD3E20
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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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# wav2GPT2MusiNewStricD3E20
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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: 1.1798
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- Rouge1: 42.718
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- Rouge2: 15.0335
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- Rougel: 31.8817
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- Rougelsum: 31.9212
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- Gen Len: 43.0
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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: 2
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- eval_batch_size: 2
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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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| 2.5878 | 1.0 | 1965 | 2.1959 | 41.9136 | 15.4521 | 29.7881 | 29.7614 | 31.0 |
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| 2.3482 | 2.0 | 3930 | 1.9855 | 40.4721 | 16.569 | 31.6934 | 31.7144 | 38.0 |
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| 2.1654 | 3.0 | 5895 | 1.8376 | 41.8598 | 14.9311 | 30.3721 | 30.3997 | 34.0 |
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| 2.0384 | 4.0 | 7860 | 1.6717 | 42.5698 | 14.1943 | 31.615 | 31.654 | 33.0 |
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| 1.8891 | 5.0 | 9825 | 1.5404 | 39.8572 | 14.4559 | 30.1631 | 30.1786 | 41.0 |
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| 1.7814 | 6.0 | 11790 | 1.4242 | 35.0971 | 11.2726 | 28.6884 | 28.6569 | 27.0 |
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| 1.6694 | 7.0 | 13755 | 1.3285 | 44.2173 | 15.6466 | 31.3753 | 31.3925 | 36.0 |
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| 1.5879 | 8.0 | 15720 | 1.2541 | 43.807 | 14.9798 | 31.8325 | 31.8513 | 43.0 |
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| 1.5305 | 9.0 | 17685 | 1.2066 | 42.3866 | 14.1488 | 32.1651 | 32.2115 | 39.0 |
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| 1.4758 | 10.0 | 19650 | 1.1798 | 42.718 | 15.0335 | 31.8817 | 31.9212 | 43.0 |
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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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