bw58 commited on
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00b7a12
1 Parent(s): 1f315b8

End of training

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README.md CHANGED
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  ---
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  license: apache-2.0
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- base_model: google/flan-t5-xl
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -15,14 +15,14 @@ should probably proofread and complete it, then remove this comment. -->
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  # bw58_billsum_model
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- This model is a fine-tuned version of [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: nan
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- - Rouge1: 0.1549
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- - Rouge2: 0.0424
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- - Rougel: 0.1164
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- - Rougelsum: 0.1164
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- - Gen Len: 17.4315
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  ## Model description
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@@ -54,10 +54,10 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | 0.0 | 1.0 | 989 | nan | 0.1549 | 0.0424 | 0.1164 | 0.1164 | 17.4315 |
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- | 0.0 | 2.0 | 1978 | nan | 0.1549 | 0.0424 | 0.1164 | 0.1164 | 17.4315 |
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- | 0.0 | 3.0 | 2967 | nan | 0.1549 | 0.0424 | 0.1164 | 0.1164 | 17.4315 |
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- | 0.0 | 4.0 | 3956 | nan | 0.1549 | 0.0424 | 0.1164 | 0.1164 | 17.4315 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: google/flan-t5-small
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # bw58_billsum_model
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+ This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: nan
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+ - Rouge1: 0.0776
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+ - Rouge2: 0.0197
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+ - Rougel: 0.0639
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+ - Rougelsum: 0.0638
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+ - Gen Len: 12.879
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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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+ | 0.0 | 1.0 | 989 | nan | 0.0776 | 0.0197 | 0.0639 | 0.0638 | 12.879 |
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+ | 0.0 | 2.0 | 1978 | nan | 0.0776 | 0.0197 | 0.0639 | 0.0638 | 12.879 |
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+ | 0.0 | 3.0 | 2967 | nan | 0.0776 | 0.0197 | 0.0639 | 0.0638 | 12.879 |
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+ | 0.0 | 4.0 | 3956 | nan | 0.0776 | 0.0197 | 0.0639 | 0.0638 | 12.879 |
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  ### Framework versions
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