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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: hubert2BertMusic100 |
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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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# hubert2BertMusic100 |
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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: 1.4721 |
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- Rouge1: 26.5915 |
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- Rouge2: 7.5185 |
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- Rougel: 18.8807 |
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- Rougelsum: 18.8279 |
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- Gen Len: 56.16 |
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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: 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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| 1.9005 | 1.0 | 1361 | 1.6875 | 27.9936 | 8.03 | 19.6327 | 19.583 | 52.7 | |
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| 1.7493 | 2.0 | 2722 | 1.6272 | 26.1413 | 7.7635 | 18.9764 | 18.8667 | 53.6 | |
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| 1.7037 | 3.0 | 4083 | 1.5873 | 27.1884 | 7.3279 | 19.607 | 19.6344 | 56.55 | |
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| 1.6621 | 4.0 | 5444 | 1.5505 | 31.0103 | 8.788 | 22.4097 | 22.3902 | 60.45 | |
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| 1.6824 | 5.0 | 6805 | 1.5272 | 26.0334 | 7.709 | 18.5954 | 18.5607 | 54.87 | |
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| 1.6451 | 6.0 | 8166 | 1.5073 | 30.49 | 7.7309 | 21.4853 | 21.537 | 65.1 | |
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| 1.6502 | 7.0 | 9527 | 1.4947 | 30.1318 | 8.4307 | 21.6758 | 21.7107 | 61.48 | |
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| 1.6588 | 8.0 | 10888 | 1.4809 | 27.3167 | 7.7378 | 19.4021 | 19.3359 | 57.38 | |
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| 1.6896 | 9.0 | 12249 | 1.4737 | 26.7199 | 7.5034 | 18.9846 | 18.9279 | 55.96 | |
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| 1.7313 | 10.0 | 13610 | 1.4721 | 26.5915 | 7.5185 | 18.8807 | 18.8279 | 56.16 | |
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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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