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cnn_news_summary_model_trained_on_reduced_data

Text2Text Generation
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donggyunkim commited on
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1 Parent(s): 298f445

End of training

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Files changed (3) hide show
  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. runs/Dec06_16-48-09_intel-Alder-Lake-Client-Platform/events.out.tfevents.1701848913.intel-Alder-Lake-Client-Platform.3418.0 +2 -2
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: 0.2163
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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
@@ -33,10 +33,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the cnn_dailymail dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.6625
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- - Rouge1: 0.2163
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- - Rouge2: 0.0945
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- - Rougel: 0.1832
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- - Rougelsum: 0.1831
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  - Generated Length: 19.0
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  ## Model description
@@ -69,8 +69,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Generated Length |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------------:|
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- | No log | 1.0 | 288 | 1.6773 | 0.2168 | 0.0947 | 0.1836 | 0.1837 | 19.0 |
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- | 1.9303 | 2.0 | 576 | 1.6625 | 0.2163 | 0.0945 | 0.1832 | 0.1831 | 19.0 |
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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: 0.2162
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  ---
27
 
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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 [t5-small](https://huggingface.co/t5-small) on the cnn_dailymail dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.6625
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+ - Rouge1: 0.2162
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+ - Rouge2: 0.0943
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+ - Rougel: 0.183
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+ - Rougelsum: 0.183
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  - Generated Length: 19.0
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Generated Length |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------------:|
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+ | No log | 1.0 | 288 | 1.6773 | 0.2168 | 0.0946 | 0.1835 | 0.1836 | 19.0 |
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+ | 1.9303 | 2.0 | 576 | 1.6625 | 0.2162 | 0.0943 | 0.183 | 0.183 | 19.0 |
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  ### Framework versions
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