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abhraskygod
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my_awesome_billsum_model

Text2Text Generation
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update model card README.md

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@@ -21,7 +21,7 @@ model-index:
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  metrics:
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  - name: Rouge1
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  type: rouge
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- value: 0.1442
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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
@@ -31,11 +31,11 @@ should probably proofread and complete it, then remove this comment. -->
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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: 2.4846
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- - Rouge1: 0.1442
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- - Rouge2: 0.0551
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- - Rougel: 0.119
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- - Rougelsum: 0.119
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  - Gen Len: 19.0
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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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- | No log | 1.0 | 62 | 2.7863 | 0.1305 | 0.0403 | 0.1102 | 0.1102 | 19.0 |
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- | No log | 2.0 | 124 | 2.5675 | 0.1403 | 0.051 | 0.117 | 0.1169 | 19.0 |
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- | No log | 3.0 | 186 | 2.5011 | 0.1415 | 0.0521 | 0.1175 | 0.1173 | 19.0 |
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- | No log | 4.0 | 248 | 2.4846 | 0.1442 | 0.0551 | 0.119 | 0.119 | 19.0 |
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  ### Framework versions
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- - Transformers 4.27.3
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- - Pytorch 1.13.1+cu116
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- - Datasets 2.10.1
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- - Tokenizers 0.13.2
 
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  metrics:
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  - name: Rouge1
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  type: rouge
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+ value: 0.1405
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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: 2.5038
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+ - Rouge1: 0.1405
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+ - Rouge2: 0.052
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+ - Rougel: 0.118
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+ - Rougelsum: 0.118
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  - Gen Len: 19.0
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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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+ | No log | 1.0 | 62 | 2.7891 | 0.1277 | 0.0374 | 0.1074 | 0.1075 | 19.0 |
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+ | No log | 2.0 | 124 | 2.5840 | 0.1334 | 0.0446 | 0.111 | 0.1109 | 19.0 |
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+ | No log | 3.0 | 186 | 2.5207 | 0.1388 | 0.0518 | 0.1162 | 0.1162 | 19.0 |
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+ | No log | 4.0 | 248 | 2.5038 | 0.1405 | 0.052 | 0.118 | 0.118 | 19.0 |
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  ### Framework versions
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+ - Transformers 4.27.4
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+ - Pytorch 2.0.0+cu118
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+ - Datasets 2.11.0
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+ - Tokenizers 0.13.3