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--- |
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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-smallV_45767V_52355 |
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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-smallV_45767V_52355 |
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This model is a fine-tuned version of [emilstabil/DanSumT5-smallV_45767](https://huggingface.co/emilstabil/DanSumT5-smallV_45767) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4059 |
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- Rouge1: 34.4784 |
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- Rouge2: 11.7874 |
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- Rougel: 21.2024 |
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- Rougelsum: 32.0698 |
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- Gen Len: 126.0211 |
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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: 3e-05 |
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- train_batch_size: 10 |
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- eval_batch_size: 10 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 40 |
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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 | 0.99 | 47 | 2.4476 | 34.2545 | 11.5442 | 21.045 | 31.8547 | 126.557 | |
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| No log | 2.0 | 95 | 2.4372 | 34.4857 | 11.8209 | 21.0909 | 32.063 | 126.5105 | |
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| No log | 2.99 | 142 | 2.4321 | 33.9859 | 11.5454 | 21.0554 | 31.6295 | 126.5907 | |
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| No log | 4.0 | 190 | 2.4220 | 34.4331 | 11.7682 | 21.2039 | 32.0393 | 126.827 | |
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| No log | 4.99 | 237 | 2.4187 | 34.3511 | 11.8482 | 21.4824 | 31.9866 | 126.2447 | |
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| No log | 6.0 | 285 | 2.4178 | 34.3999 | 12.0167 | 21.3841 | 32.094 | 126.3038 | |
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| No log | 6.99 | 332 | 2.4119 | 34.0619 | 11.882 | 21.2583 | 31.713 | 126.0338 | |
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| No log | 8.0 | 380 | 2.4081 | 34.3605 | 11.8248 | 21.3351 | 32.0082 | 125.9409 | |
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| No log | 8.99 | 427 | 2.4072 | 34.2218 | 11.7791 | 21.3086 | 31.8756 | 125.8186 | |
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| No log | 10.0 | 475 | 2.4066 | 34.5265 | 11.8846 | 21.3612 | 32.1396 | 125.8608 | |
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| 2.6208 | 10.88 | 517 | 2.4059 | 34.4784 | 11.7874 | 21.2024 | 32.0698 | 126.0211 | |
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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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