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End of training

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  1. README.md +12 -12
  2. model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Rouge1
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  type: rouge
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- value: 0.2606
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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
@@ -32,12 +32,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the big_patent dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2667
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- - Rouge1: 0.2606
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- - Rouge2: 0.0918
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- - Rougel: 0.2133
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- - Rougelsum: 0.2133
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- - Gen Len: 45.2637
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  ## Model description
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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 | 108 | 0.2910 | 0.2174 | 0.0657 | 0.18 | 0.1801 | 89.5165 |
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- | No log | 2.0 | 216 | 0.2599 | 0.2618 | 0.0902 | 0.2138 | 0.2128 | 47.0879 |
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- | No log | 3.0 | 324 | 0.2667 | 0.2606 | 0.0918 | 0.2133 | 0.2133 | 45.2637 |
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  ### Framework versions
 
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  metrics:
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  - name: Rouge1
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  type: rouge
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+ value: 0.2972
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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 [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the big_patent dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2412
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+ - Rouge1: 0.2972
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+ - Rouge2: 0.1193
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+ - Rougel: 0.2431
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+ - Rougelsum: 0.243
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+ - Gen Len: 46.326
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  ## Model description
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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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+ | 0.2195 | 1.0 | 9595 | 0.2350 | 0.2858 | 0.1157 | 0.2372 | 0.237 | 50.5544 |
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+ | 0.1754 | 2.0 | 19191 | 0.2363 | 0.2895 | 0.1172 | 0.2392 | 0.2389 | 49.5847 |
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+ | 0.1428 | 3.0 | 28785 | 0.2412 | 0.2972 | 0.1193 | 0.2431 | 0.243 | 46.326 |
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  ### Framework versions
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