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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: hubert2BertMusicwithNewS10 |
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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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# hubert2BertMusicwithNewS10 |
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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: 2.8649 |
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- Rouge1: 24.5018 |
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- Rouge2: 7.2557 |
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- Rougel: 18.535 |
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- Rougelsum: 18.4997 |
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- Gen Len: 50.24 |
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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: 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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| 3.2422 | 1.0 | 1361 | 2.9931 | 25.0594 | 6.9031 | 18.6171 | 18.5836 | 48.72 | |
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| 3.1189 | 2.0 | 2722 | 2.9560 | 24.0397 | 7.0297 | 18.3958 | 18.3901 | 48.51 | |
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| 3.1167 | 3.0 | 4083 | 2.9341 | 24.2991 | 7.1132 | 18.4583 | 18.4489 | 46.43 | |
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| 3.1044 | 4.0 | 5444 | 2.9114 | 24.6611 | 7.2594 | 18.633 | 18.6267 | 49.35 | |
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| 3.1629 | 5.0 | 6805 | 2.8981 | 24.1154 | 7.3257 | 18.5844 | 18.5767 | 46.03 | |
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| 3.1118 | 6.0 | 8166 | 2.8856 | 24.7206 | 7.2058 | 18.615 | 18.5836 | 51.1 | |
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| 3.1004 | 7.0 | 9527 | 2.8762 | 24.3086 | 7.2822 | 18.5582 | 18.4717 | 48.02 | |
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| 3.0851 | 8.0 | 10888 | 2.8702 | 24.3488 | 7.2356 | 18.4268 | 18.3977 | 49.38 | |
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| 3.0963 | 9.0 | 12249 | 2.8663 | 24.4728 | 7.2887 | 18.4689 | 18.4485 | 50.51 | |
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| 3.0999 | 10.0 | 13610 | 2.8649 | 24.5018 | 7.2557 | 18.535 | 18.4997 | 50.24 | |
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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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