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--- |
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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: t5-base-extraction-cnndm_10000-all |
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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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# t5-base-extraction-cnndm_10000-all |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8182 |
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- Rouge1: 33.8286 |
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- Rouge2: 14.4919 |
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- Rougel: 28.8935 |
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- Rougelsum: 28.9581 |
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- Gen Len: 19.0 |
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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: 2e-05 |
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- train_batch_size: 24 |
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- eval_batch_size: 48 |
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- seed: 1799 |
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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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| 1.9662 | 0.48 | 200 | 1.9092 | 33.2564 | 14.236 | 28.2044 | 28.3269 | 18.992 | |
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| 1.9495 | 0.96 | 400 | 1.8775 | 33.7516 | 14.2246 | 28.9019 | 28.9507 | 19.0 | |
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| 1.9062 | 1.44 | 600 | 1.8580 | 33.7533 | 14.2196 | 28.3873 | 28.4658 | 19.0 | |
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| 1.8713 | 1.92 | 800 | 1.8496 | 33.6921 | 14.4532 | 28.5695 | 28.6573 | 19.0 | |
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| 1.85 | 2.4 | 1000 | 1.8327 | 34.1551 | 14.7671 | 28.9492 | 28.9885 | 19.0 | |
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| 1.8232 | 2.88 | 1200 | 1.8182 | 33.8286 | 14.4919 | 28.8935 | 28.9581 | 19.0 | |
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| 1.8004 | 3.36 | 1400 | 1.8299 | 34.5099 | 14.8659 | 29.1119 | 29.1544 | 19.0 | |
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| 1.7832 | 3.84 | 1600 | 1.8252 | 34.5877 | 15.1259 | 29.3368 | 29.3638 | 19.0 | |
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| 1.7677 | 4.32 | 1800 | 1.8226 | 34.4487 | 15.0361 | 29.2962 | 29.3431 | 19.0 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 2.5.1 |
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- Tokenizers 0.12.1 |
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