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conversation-summ

Transformers
PyTorch
bart
text2text-generation
Generated from Trainer
Eval Results
Model card Files
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End of training

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Files changed (3) hide show
  1. README.md +10 -10
  2. pytorch_model.bin +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: 54.2487
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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 [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on the samsum dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3231
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- - Rouge1: 54.2487
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- - Rouge2: 29.5178
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- - Rougel: 44.8218
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- - Rougelsum: 49.9421
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- - Gen Len: 29.8912
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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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- | 0.2026 | 1.0 | 3683 | 0.3231 | 54.2487 | 29.5178 | 44.8218 | 49.9421 | 29.8912 |
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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: 54.5208
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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-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on the samsum dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3072
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+ - Rouge1: 54.5208
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+ - Rouge2: 29.613
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+ - Rougel: 44.529
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+ - Rougelsum: 49.9578
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+ - Gen Len: 30.1968
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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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+ | 0.2898 | 1.0 | 3683 | 0.3072 | 54.5208 | 29.613 | 44.529 | 49.9578 | 30.1968 |
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  ### Framework versions
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