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MK-5
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t5-small-Abstractive-Summarizer

Summarization
Transformers
TensorBoard
Safetensors
t5
text2text-generation
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Eval Results
text-generation-inference
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MK-5 commited on
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1 Parent(s): d56bf69

Training complete

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Files changed (3) hide show
  1. README.md +11 -11
  2. runs/Sep07_06-00-17_fc36e533de6d/events.out.tfevents.1725688930.fc36e533de6d.1273.0 +2 -2
  3. runs/Sep07_06-00-17_fc36e533de6d/events.out.tfevents.1725689422.fc36e533de6d.1273.1 +3 -0
README.md CHANGED
@@ -24,7 +24,7 @@ model-index:
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  metrics:
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  - name: Rouge1
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  type: rouge
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- value: 15.0486
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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
@@ -34,11 +34,11 @@ 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 multi_news dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.8162
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- - Rouge1: 15.0486
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- - Rouge2: 5.1197
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- - Rougel: 12.0288
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- - Rougelsum: 13.4434
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
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- | 2.7895 | 1.0 | 113 | 2.7479 | 15.6051 | 5.1347 | 12.2224 | 13.8875 |
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- | 2.6034 | 2.0 | 226 | 2.7745 | 15.2054 | 4.7334 | 11.7555 | 13.436 |
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- | 2.4515 | 3.0 | 339 | 2.7820 | 15.008 | 4.6612 | 11.5993 | 13.3788 |
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- | 2.3439 | 4.0 | 452 | 2.8056 | 15.2475 | 4.9304 | 11.8552 | 13.4615 |
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- | 2.2803 | 5.0 | 565 | 2.8162 | 15.0486 | 5.1197 | 12.0288 | 13.4434 |
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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: 15.7032
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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 [t5-small](https://huggingface.co/t5-small) on the multi_news dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.7737
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+ - Rouge1: 15.7032
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+ - Rouge2: 5.2433
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+ - Rougel: 12.282
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+ - Rougelsum: 14.0946
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
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+ | 3.118 | 1.0 | 113 | 2.7677 | 15.1343 | 4.7712 | 11.8812 | 13.386 |
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+ | 2.7857 | 2.0 | 226 | 2.7609 | 15.7641 | 4.8705 | 12.0955 | 13.9779 |
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+ | 2.6158 | 3.0 | 339 | 2.7494 | 15.1515 | 4.4523 | 11.7147 | 13.4181 |
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+ | 2.4962 | 4.0 | 452 | 2.7743 | 15.344 | 5.1073 | 12.1574 | 13.7917 |
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+ | 2.4304 | 5.0 | 565 | 2.7737 | 15.7032 | 5.2433 | 12.282 | 14.0946 |
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  ### Framework versions
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- size 8870
 
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