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End of training

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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. training_args.bin +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: 0.2658
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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: 0.2665
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- - Rouge1: 0.2658
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- - Rouge2: 0.1008
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- - Rougel: 0.2231
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- - Rougelsum: 0.2244
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- - Gen Len: 19.6593
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  ## Model description
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@@ -71,9 +71,9 @@ 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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- | No log | 1.0 | 108 | 0.2940 | 0.2525 | 0.0809 | 0.2062 | 0.2074 | 19.956 |
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- | No log | 2.0 | 216 | 0.2595 | 0.2713 | 0.097 | 0.2233 | 0.2256 | 19.5165 |
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- | No log | 3.0 | 324 | 0.2665 | 0.2658 | 0.1008 | 0.2231 | 0.2244 | 19.6593 |
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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: 0.2606
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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
 
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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 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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