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MeetK
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bart_summarisation

Transformers
Safetensors
bart
text2text-generation
Generated from Trainer
Model card Files
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Community
MeetK commited on
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Training in progress, step 500

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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
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  ---
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  license: apache-2.0
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- base_model: slauw87/bart_summarisation
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -15,14 +15,14 @@ should probably proofread and complete it, then remove this comment. -->
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  # bart_summarisation
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- This model is a fine-tuned version of [slauw87/bart_summarisation](https://huggingface.co/slauw87/bart_summarisation) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.9189
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- - Rouge1: 0.3009
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- - Rouge2: 0.1043
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- - Rougel: 0.211
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- - Rougelsum: 0.2108
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- - Gen Len: 67.473
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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 | 313 | 1.8971 | 0.2972 | 0.1024 | 0.2092 | 0.209 | 67.394 |
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- | 2.2319 | 2.0 | 626 | 1.9189 | 0.3009 | 0.1043 | 0.211 | 0.2108 | 67.473 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: MeetK/bart_summarisation
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # bart_summarisation
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+ This model is a fine-tuned version of [MeetK/bart_summarisation](https://huggingface.co/MeetK/bart_summarisation) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8939
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+ - Rouge1: 0.3098
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+ - Rouge2: 0.1103
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+ - Rougel: 0.22
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+ - Rougelsum: 0.2199
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+ - Gen Len: 66.235
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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 | 313 | 1.8950 | 0.3049 | 0.1091 | 0.2172 | 0.2175 | 66.817 |
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+ | 2.1645 | 2.0 | 626 | 1.8939 | 0.3098 | 0.1103 | 0.22 | 0.2199 | 66.235 |
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  ### Framework versions
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