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End of training

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  1. README.md +12 -12
  2. model.safetensors +1 -1
README.md CHANGED
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  ---
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  license: apache-2.0
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- base_model: sshleifer/distilbart-cnn-6-6
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  tags:
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  - generated_from_trainer
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  datasets:
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  metrics:
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  - name: Rouge1
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  type: rouge
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- value: 35.81
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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
@@ -30,14 +30,14 @@ should probably proofread and complete it, then remove this comment. -->
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  # thesis-bart-finetuned-on-original-wcep-500
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- This model is a fine-tuned version of [sshleifer/distilbart-cnn-6-6](https://huggingface.co/sshleifer/distilbart-cnn-6-6) on the wcep-10 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.1980
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- - Rouge1: 35.81
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- - Rouge2: 14.9705
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- - Rougel: 25.2834
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- - Rougelsum: 28.7263
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- - Gen Len: 67.1049
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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 | 32 | 2.2076 | 35.9746 | 14.9571 | 25.2928 | 28.4098 | 66.6931 |
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- | No log | 2.0 | 64 | 2.1939 | 35.7681 | 14.8831 | 25.3243 | 28.4326 | 67.3382 |
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- | No log | 3.0 | 96 | 2.1980 | 35.81 | 14.9705 | 25.2834 | 28.7263 | 67.1049 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: roofdancer/thesis-bart-finetuned
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  metrics:
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  - name: Rouge1
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  type: rouge
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+ value: 35.0169
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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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  # thesis-bart-finetuned-on-original-wcep-500
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+ This model is a fine-tuned version of [roofdancer/thesis-bart-finetuned](https://huggingface.co/roofdancer/thesis-bart-finetuned) on the wcep-10 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.1217
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+ - Rouge1: 35.0169
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+ - Rouge2: 14.4075
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+ - Rougel: 24.4949
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+ - Rougelsum: 28.2941
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+ - Gen Len: 71.6902
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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 | 32 | 2.1140 | 34.7405 | 14.1273 | 24.143 | 28.0926 | 71.6676 |
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+ | No log | 2.0 | 64 | 2.1159 | 35.1873 | 14.5677 | 24.6163 | 28.2788 | 71.5127 |
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+ | No log | 3.0 | 96 | 2.1217 | 35.0169 | 14.4075 | 24.4949 | 28.2941 | 71.6902 |
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  ### Framework versions
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