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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: hubert2BertMusicTest
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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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# hubert2BertMusicTest
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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: 5.8221
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- Rouge1: 15.7283
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- Rouge2: 1.0309
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- Rougel: 15.2928
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- Rougelsum: 15.2996
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- Gen Len: 98.36
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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-06
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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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| 7.9557 | 1.0 | 1361 | 6.9607 | 17.7604 | 1.459 | 16.0128 | 16.0274 | 97.63 |
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| 6.5119 | 2.0 | 2722 | 6.2240 | 15.1584 | 0.9606 | 14.9311 | 14.9471 | 100.0 |
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| 6.103 | 3.0 | 4083 | 5.9626 | 15.066 | 0.9708 | 14.911 | 14.9342 | 100.0 |
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| 5.9857 | 4.0 | 5444 | 5.8541 | 15.3603 | 0.9738 | 15.0075 | 15.0097 | 98.69 |
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| 5.9223 | 5.0 | 6805 | 5.8221 | 15.7283 | 1.0309 | 15.2928 | 15.2996 | 98.36 |
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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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