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smrynrz20
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billsum_model

Text2Text Generation
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bart
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End of training

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  1. README.md +9 -8
  2. model.safetensors +1 -1
  3. runs/Jan08_15-47-43_153f9ed87099/events.out.tfevents.1704728865.153f9ed87099.347.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.9695
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- - Rouge1: 0.1836
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- - Rouge2: 0.1032
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- - Rougel: 0.1625
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- - Rougelsum: 0.1669
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  - Gen Len: 20.0
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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: 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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- | No log | 1.0 | 124 | 2.0158 | 0.1852 | 0.103 | 0.1649 | 0.1683 | 20.0 |
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- | No log | 2.0 | 248 | 1.9695 | 0.1836 | 0.1032 | 0.1625 | 0.1669 | 20.0 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.9696
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+ - Rouge1: 0.1826
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+ - Rouge2: 0.1055
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+ - Rougel: 0.1618
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+ - Rougelsum: 0.1663
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  - Gen Len: 20.0
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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: 3
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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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+ | No log | 1.0 | 124 | 2.0769 | 0.1768 | 0.1025 | 0.156 | 0.1613 | 20.0 |
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+ | No log | 2.0 | 248 | 1.9998 | 0.1839 | 0.1056 | 0.1611 | 0.1664 | 20.0 |
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+ | No log | 3.0 | 372 | 1.9696 | 0.1826 | 0.1055 | 0.1618 | 0.1663 | 20.0 |
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  ### Framework versions
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