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chakochen
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t5-base-destination-inference

Summarization
Transformers
PyTorch
t5
text2text-generation
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
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chakochen commited on
Commit
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Training complete

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  1. README.md +14 -14
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1325
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- - Rouge1: 21.8
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  - Rouge2: 0.0
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- - Rougel: 21.8
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- - Rougelsum: 21.8
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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 |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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- | 3.4532 | 1.0 | 250 | 1.8246 | 1.4 | 0.0 | 1.4 | 1.4 |
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- | 2.2781 | 2.0 | 500 | 1.5979 | 4.2 | 0.0 | 4.2 | 4.2 |
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- | 2.0678 | 3.0 | 750 | 1.4511 | 11.6 | 0.0 | 11.5 | 11.6 |
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- | 1.9165 | 4.0 | 1000 | 1.3417 | 14.8 | 0.0 | 14.8 | 14.8 |
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- | 1.7977 | 5.0 | 1250 | 1.2545 | 16.4 | 0.0 | 16.4 | 16.4 |
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- | 1.7429 | 6.0 | 1500 | 1.1880 | 20.8 | 0.0 | 20.8 | 20.8 |
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- | 1.6793 | 7.0 | 1750 | 1.1493 | 21.8 | 0.0 | 21.8 | 21.8 |
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- | 1.624 | 8.0 | 2000 | 1.1325 | 21.8 | 0.0 | 21.8 | 21.8 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0973
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+ - Rouge1: 96.588
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  - Rouge2: 0.0
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+ - Rougel: 96.588
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+ - Rougelsum: 96.5792
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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 |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|
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+ | 1.1906 | 1.0 | 5701 | 0.1466 | 94.1847 | 0.0 | 94.1672 | 94.1584 |
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+ | 0.9407 | 2.0 | 11402 | 0.1228 | 94.632 | 0.0 | 94.6408 | 94.632 |
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+ | 0.8533 | 3.0 | 17103 | 0.1106 | 95.4653 | 0.0 | 95.4653 | 95.4565 |
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+ | 0.7889 | 4.0 | 22804 | 0.1017 | 95.8337 | 0.0 | 95.8249 | 95.8162 |
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+ | 0.7394 | 5.0 | 28505 | 0.0990 | 96.2547 | 0.0 | 96.2591 | 96.2459 |
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+ | 0.7014 | 6.0 | 34206 | 0.0986 | 96.3951 | 0.0 | 96.4038 | 96.3863 |
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+ | 0.6737 | 7.0 | 39907 | 0.0966 | 96.4915 | 0.0 | 96.4872 | 96.474 |
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+ | 0.6533 | 8.0 | 45608 | 0.0973 | 96.588 | 0.0 | 96.588 | 96.5792 |
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  ### Framework versions
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