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End of training

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  1. README.md +31 -31
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -4,18 +4,18 @@ base_model: facebook/bart-base
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: pubmed-abs-noise-01
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  results: []
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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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  should probably proofread and complete it, then remove this comment. -->
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- # pubmed-abs-noise-01
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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: 0.2094
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  ## Model description
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@@ -47,34 +47,34 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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- | 0.3418 | 0.11 | 500 | 0.3102 |
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- | 0.3315 | 0.21 | 1000 | 0.2811 |
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- | 0.3479 | 0.32 | 1500 | 0.2585 |
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- | 0.308 | 0.43 | 2000 | 0.2609 |
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- | 0.2716 | 0.54 | 2500 | 0.2549 |
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- | 0.2845 | 0.64 | 3000 | 0.2442 |
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- | 0.2781 | 0.75 | 3500 | 0.2379 |
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- | 0.2893 | 0.86 | 4000 | 0.2314 |
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- | 0.2581 | 0.96 | 4500 | 0.2297 |
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- | 0.2269 | 1.07 | 5000 | 0.2334 |
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- | 0.2274 | 1.18 | 5500 | 0.2272 |
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- | 0.2053 | 1.28 | 6000 | 0.2305 |
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- | 0.2062 | 1.39 | 6500 | 0.2246 |
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- | 0.241 | 1.5 | 7000 | 0.2215 |
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- | 0.1625 | 1.61 | 7500 | 0.2239 |
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- | 0.2179 | 1.71 | 8000 | 0.2181 |
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- | 0.2372 | 1.82 | 8500 | 0.2187 |
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- | 0.2116 | 1.93 | 9000 | 0.2115 |
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- | 0.1625 | 2.03 | 9500 | 0.2168 |
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- | 0.187 | 2.14 | 10000 | 0.2170 |
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- | 0.159 | 2.25 | 10500 | 0.2163 |
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- | 0.1741 | 2.35 | 11000 | 0.2144 |
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- | 0.1964 | 2.46 | 11500 | 0.2111 |
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- | 0.1679 | 2.57 | 12000 | 0.2117 |
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- | 0.1662 | 2.68 | 12500 | 0.2096 |
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- | 0.1436 | 2.78 | 13000 | 0.2107 |
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- | 0.1875 | 2.89 | 13500 | 0.2099 |
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- | 0.1656 | 3.0 | 14000 | 0.2094 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: pubmed-abs-ins-con-02
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  results: []
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # pubmed-abs-ins-con-02
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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: 0.0602
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.1802 | 0.11 | 500 | 0.1129 |
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+ | 0.1436 | 0.21 | 1000 | 0.1032 |
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+ | 0.1185 | 0.32 | 1500 | 0.0901 |
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+ | 0.1794 | 0.43 | 2000 | 0.0878 |
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+ | 0.1027 | 0.54 | 2500 | 0.0879 |
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+ | 0.1001 | 0.64 | 3000 | 0.0804 |
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+ | 0.0835 | 0.75 | 3500 | 0.0751 |
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+ | 0.0946 | 0.86 | 4000 | 0.0744 |
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+ | 0.0891 | 0.96 | 4500 | 0.0730 |
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+ | 0.0657 | 1.07 | 5000 | 0.0707 |
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+ | 0.0732 | 1.18 | 5500 | 0.0703 |
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+ | 0.0718 | 1.28 | 6000 | 0.0739 |
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+ | 0.0671 | 1.39 | 6500 | 0.0680 |
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+ | 0.0806 | 1.5 | 7000 | 0.0683 |
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+ | 0.0527 | 1.61 | 7500 | 0.0687 |
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+ | 0.0615 | 1.71 | 8000 | 0.0663 |
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+ | 0.1018 | 1.82 | 8500 | 0.0633 |
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+ | 0.068 | 1.93 | 9000 | 0.0617 |
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+ | 0.055 | 2.03 | 9500 | 0.0642 |
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+ | 0.0594 | 2.14 | 10000 | 0.0641 |
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+ | 0.0496 | 2.25 | 10500 | 0.0640 |
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+ | 0.0423 | 2.35 | 11000 | 0.0635 |
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+ | 0.0535 | 2.46 | 11500 | 0.0610 |
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+ | 0.0582 | 2.57 | 12000 | 0.0604 |
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+ | 0.0539 | 2.68 | 12500 | 0.0598 |
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+ | 0.0399 | 2.78 | 13000 | 0.0607 |
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+ | 0.0392 | 2.89 | 13500 | 0.0607 |
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+ | 0.0467 | 3.0 | 14000 | 0.0602 |
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  ### Framework versions
pytorch_model.bin CHANGED
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