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chandank
/
bart-base-finetuned-xsum

Transformers
PyTorch
TensorBoard
bart
text2text-generation
Generated from Trainer
Model card Files
xet
Metrics Community
2
chandank commited on
Commit
b0cecf8
·
1 Parent(s): 1d885d8

add model

Browse files
Files changed (5) hide show
  1. README.md +10 -10
  2. pytorch_model.bin +1 -1
  3. runs/Aug23_18-16-22_ip-172-16-147-34/1629742597.2339642/events.out.tfevents.1629742597.ip-172-16-147-34.20099.1 +3 -0
  4. runs/Aug23_18-16-22_ip-172-16-147-34/events.out.tfevents.1629742597.ip-172-16-147-34.20099.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -14,7 +14,7 @@ model_index:
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  metric:
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  name: Rouge1
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  type: rouge
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- value: 27.8379
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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
@@ -24,12 +24,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.5671
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- - Rouge1: 27.8379
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- - Rouge2: 16.2683
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- - Rougel: 24.1898
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- - Rougelsum: 25.5234
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- - Gen Len: 20.0
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  ## Model description
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@@ -58,9 +58,9 @@ The following hyperparameters were used during training:
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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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- | 1.9931 | 1.0 | 879 | 1.5671 | 27.8379 | 16.2683 | 24.1898 | 25.5234 | 20.0 |
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  ### Framework versions
 
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  metric:
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  name: Rouge1
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  type: rouge
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+ value: 27.887
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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 [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5925
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+ - Rouge1: 27.887
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+ - Rouge2: 16.1414
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+ - Rougel: 24.0525
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+ - Rougelsum: 25.4029
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+ - Gen Len: 19.9841
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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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+ | 1.9826 | 1.0 | 879 | 1.5925 | 27.887 | 16.1414 | 24.0525 | 25.4029 | 19.9841 |
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  ### Framework versions
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