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license: apache-2.0 |
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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: DanSumT5-baseV_13284V_36974V_40973 |
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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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# DanSumT5-baseV_13284V_36974V_40973 |
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This model is a fine-tuned version of [emilstabil/DanSumT5-baseV_13284V_36974](https://huggingface.co/emilstabil/DanSumT5-baseV_13284V_36974) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0844 |
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- Rouge1: 34.7659 |
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- Rouge2: 12.0539 |
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- Rougel: 21.7003 |
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- Rougelsum: 32.4346 |
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- Gen Len: 125.7257 |
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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: 6 |
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- eval_batch_size: 6 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 24 |
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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: 11 |
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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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| No log | 1.0 | 79 | 2.0942 | 34.8616 | 12.1787 | 21.938 | 32.7257 | 125.2743 | |
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| No log | 1.99 | 158 | 2.0948 | 35.2673 | 12.4538 | 22.1361 | 33.0224 | 125.4852 | |
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| No log | 2.99 | 237 | 2.0952 | 34.9658 | 12.3838 | 21.8458 | 32.7172 | 125.4684 | |
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| No log | 4.0 | 317 | 2.0912 | 35.0599 | 12.2917 | 22.056 | 32.8679 | 125.789 | |
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| No log | 5.0 | 396 | 2.0928 | 34.8244 | 12.177 | 21.7107 | 32.5448 | 125.7342 | |
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| No log | 5.99 | 475 | 2.0921 | 34.9628 | 12.0905 | 21.9328 | 32.6944 | 125.7384 | |
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| 1.9703 | 6.99 | 554 | 2.0894 | 35.2438 | 12.2584 | 22.0919 | 32.8896 | 125.6118 | |
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| 1.9703 | 8.0 | 634 | 2.0880 | 35.0228 | 12.0681 | 21.9121 | 32.6604 | 125.7848 | |
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| 1.9703 | 9.0 | 713 | 2.0864 | 34.9607 | 12.0556 | 21.8096 | 32.5884 | 125.6751 | |
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| 1.9703 | 9.99 | 792 | 2.0849 | 34.7755 | 12.0721 | 21.7294 | 32.4555 | 125.7215 | |
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| 1.9703 | 10.97 | 869 | 2.0844 | 34.7659 | 12.0539 | 21.7003 | 32.4346 | 125.7257 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 1.12.1+git7548e2f |
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- Datasets 2.13.2 |
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- Tokenizers 0.13.3 |
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