Commit
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End of training
Browse files- README.md +18 -16
- generation_config.json +1 -1
- pytorch_model.bin +1 -1
README.md
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metrics:
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- name: Rouge1
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type: rouge
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value: 0.
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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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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.
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- Rouge1: 0.
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- Rouge2: 0.
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- Rougel: 0.
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- Rougelsum: 0.
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- Gen Len: 19.0
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## Model description
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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:
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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 | 124 | 2.
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| No log | 2.0 | 248 | 2.
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| No log | 3.0 | 372 | 2.
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| No log | 4.0 | 496 | 2.
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### Framework versions
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- Transformers 4.33.
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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metrics:
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- name: Rouge1
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type: rouge
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value: 0.2014
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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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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2453
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- Rouge1: 0.2014
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- Rouge2: 0.1012
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- Rougel: 0.1696
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- Rougelsum: 0.1698
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- Gen Len: 19.0
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## Model description
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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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| No log | 1.0 | 124 | 2.5661 | 0.1328 | 0.0422 | 0.1082 | 0.1083 | 19.0 |
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| No log | 2.0 | 248 | 2.4215 | 0.1686 | 0.0704 | 0.139 | 0.1391 | 19.0 |
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| No log | 3.0 | 372 | 2.3551 | 0.1994 | 0.0994 | 0.1669 | 0.1667 | 19.0 |
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| No log | 4.0 | 496 | 2.3135 | 0.2021 | 0.1018 | 0.1701 | 0.17 | 19.0 |
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| 2.7983 | 5.0 | 620 | 2.2911 | 0.2019 | 0.103 | 0.1703 | 0.1705 | 19.0 |
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| 2.7983 | 6.0 | 744 | 2.2719 | 0.2015 | 0.1023 | 0.1707 | 0.1708 | 19.0 |
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| 2.7983 | 7.0 | 868 | 2.2597 | 0.2008 | 0.1013 | 0.1691 | 0.1693 | 19.0 |
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| 2.7983 | 8.0 | 992 | 2.2515 | 0.2016 | 0.1016 | 0.1695 | 0.1697 | 19.0 |
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| 2.4664 | 9.0 | 1116 | 2.2467 | 0.2017 | 0.1016 | 0.1696 | 0.1698 | 19.0 |
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| 2.4664 | 10.0 | 1240 | 2.2453 | 0.2014 | 0.1012 | 0.1696 | 0.1698 | 19.0 |
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### Framework versions
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- Transformers 4.33.3
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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generation_config.json
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.33.
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}
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.33.3"
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}
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pytorch_model.bin
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