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billsum-model-z

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README.md CHANGED
@@ -18,12 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.0142
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- - Rouge1: 0.4701
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- - Rouge2: 0.268
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- - Rougel: 0.3586
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- - Rougelsum: 0.3585
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- - Gen Len: 130.1138
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  ## Model description
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@@ -48,14 +48,14 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 1
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  - mixed_precision_training: Native AMP
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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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- | 2.2403 | 1.0 | 4738 | 2.0142 | 0.4701 | 0.268 | 0.3586 | 0.3585 | 130.1138 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.9649
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+ - Rouge1: 0.473
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+ - Rouge2: 0.2725
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+ - Rougel: 0.3613
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+ - Rougelsum: 0.3612
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+ - Gen Len: 129.5922
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  ## Model description
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 2
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  - mixed_precision_training: Native AMP
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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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+ | 2.1743 | 2.0 | 9476 | 1.9649 | 0.473 | 0.2725 | 0.3613 | 0.3612 | 129.5922 |
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  ### Framework versions
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