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End of training

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  1. README.md +26 -4
  2. model.safetensors +1 -1
README.md CHANGED
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  - generated_from_trainer
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  datasets:
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  - xsum
 
 
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  model-index:
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  - name: t5-small-finetuned-xsum
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- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
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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
@@ -16,6 +31,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # t5-small-finetuned-xsum
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset.
 
 
 
 
 
 
 
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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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- | No log | 1.0 | 52 | 2.9217 | 15.5569 | 1.9062 | 11.9731 | 11.9211 | 18.9783 |
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  ### Framework versions
 
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  - generated_from_trainer
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  datasets:
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  - xsum
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+ metrics:
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+ - rouge
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  model-index:
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  - name: t5-small-finetuned-xsum
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+ results:
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+ - task:
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+ name: Sequence-to-sequence Language Modeling
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+ type: text2text-generation
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+ dataset:
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+ name: xsum
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+ type: xsum
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+ config: default
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+ split: validation
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+ args: default
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+ metrics:
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+ - name: Rouge1
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+ type: rouge
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+ value: 28.3078
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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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  # t5-small-finetuned-xsum
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.4779
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+ - Rouge1: 28.3078
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+ - Rouge2: 7.7241
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+ - Rougel: 22.2369
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+ - Rougelsum: 22.2408
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+ - Gen Len: 18.8302
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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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+ | 2.7091 | 1.0 | 12753 | 2.4779 | 28.3078 | 7.7241 | 22.2369 | 22.2408 | 18.8302 |
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  ### Framework versions
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