sohamchougule
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update model card README.md
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README.md
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name: samsum
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type: samsum
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config: samsum
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split:
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args: samsum
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metrics:
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- name: Rouge1
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type: rouge
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value: 43.
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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 samsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Rouge1: 43.
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- Rouge2:
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- Rougel: 36.
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- Rougelsum:
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- Gen Len: 16.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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| 1.8479 | 1.0 | 7366 | 1.
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### Framework versions
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name: samsum
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type: samsum
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config: samsum
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split: test
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args: samsum
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metrics:
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- name: Rouge1
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type: rouge
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value: 43.5952
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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 samsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6768
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- Rouge1: 43.5952
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- Rouge2: 19.5072
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- Rougel: 36.2845
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- Rougelsum: 39.8318
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- Gen Len: 16.5055
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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| 1.8479 | 1.0 | 7366 | 1.6768 | 43.5952 | 19.5072 | 36.2845 | 39.8318 | 16.5055 |
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### Framework versions
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