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Summarization
Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
Eval Results
text-generation-inference
Inference Endpoints
Model card Files Metrics Community
uk4zor commited on
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Training complete

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  1. README.md +10 -11
  2. model.safetensors +1 -1
  3. runs/Dec11_10-00-33_1a7ce758eb18/events.out.tfevents.1702289061.1a7ce758eb18.236.29 +2 -2
  4. runs/Dec11_10-00-33_1a7ce758eb18/events.out.tfevents.1702290361.1a7ce758eb18.236.30 +3 -0
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
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  metrics:
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  - name: Rouge1
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  type: rouge
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- value: 77.77777777777779
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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 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Falconsai/text_summarization](https://huggingface.co/Falconsai/text_summarization) on the samsum dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.8069
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- - Rougel: 77.7778
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- - Rouge1: 77.7778
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- - Rougelsum: 77.7778
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  ## Model description
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@@ -65,12 +64,12 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Rougel | Rouge1 | Rougelsum |
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- |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:---------:|
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- | 2.0561 | 1.0 | 2482 | 1.8540 | 77.7778 | 77.7778 | 77.7778 |
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- | 1.9646 | 2.0 | 4964 | 1.8229 | 77.7778 | 77.7778 | 77.7778 |
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- | 1.8926 | 3.0 | 7446 | 1.8127 | 77.7778 | 77.7778 | 77.7778 |
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- | 1.8662 | 4.0 | 9928 | 1.8069 | 77.7778 | 77.7778 | 77.7778 |
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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: 39.828368591661174
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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 [Falconsai/text_summarization](https://huggingface.co/Falconsai/text_summarization) on the samsum dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8153
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+ - Rougel: 34.6482
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+ - Rouge1: 39.8284
 
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Rougel | Rouge1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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+ | 2.114 | 1.0 | 2482 | 1.8684 | 33.1345 | 38.1733 |
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+ | 1.97 | 2.0 | 4964 | 1.8398 | 34.0689 | 39.3155 |
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+ | 1.9544 | 3.0 | 7446 | 1.8197 | 34.1805 | 39.3582 |
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+ | 1.9031 | 4.0 | 9928 | 1.8153 | 34.6482 | 39.8284 |
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  ### Framework versions
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