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t5-small-finetuned-policy

Text2Text Generation
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t5
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text-generation-inference
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  1. README.md +9 -8
  2. runs/Feb09_05-07-42_3af1988b8e61/events.out.tfevents.1707455270.3af1988b8e61.227.0 +3 -0
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,10 +18,10 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.6990
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- - Rouge1: 18.4176
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- - Rouge2: 10.1291
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- - Rougel: 15.664
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- - Rougelsum: 17.6014
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  - Gen Len: 19.0
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  ## Model description
@@ -54,14 +54,15 @@ The following hyperparameters were used during training:
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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 | 9 | 3.8135 | 17.6789 | 9.3496 | 15.022 | 17.011 | 19.0 |
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- | No log | 2.0 | 18 | 3.1032 | 18.6165 | 10.2955 | 15.7684 | 17.7017 | 19.0 |
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- | No log | 3.0 | 27 | 2.7841 | 18.4176 | 10.1291 | 15.664 | 17.6014 | 19.0 |
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- | No log | 4.0 | 36 | 2.6990 | 18.4176 | 10.1291 | 15.664 | 17.6014 | 19.0 |
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  ### Framework versions
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu121
 
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  - Tokenizers 0.15.1
 
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.6990
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+ - Rouge1: 18.4909
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+ - Rouge2: 10.2538
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+ - Rougel: 15.7923
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+ - Rougelsum: 17.7389
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  - Gen Len: 19.0
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  ## Model description
 
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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 | 9 | 3.8135 | 17.7379 | 9.4809 | 15.1302 | 17.2319 | 19.0 |
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+ | No log | 2.0 | 18 | 3.1032 | 18.6526 | 10.4901 | 15.8718 | 17.8287 | 19.0 |
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+ | No log | 3.0 | 27 | 2.7841 | 18.4909 | 10.2538 | 15.7923 | 17.7389 | 19.0 |
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+ | No log | 4.0 | 36 | 2.6990 | 18.4909 | 10.2538 | 15.7923 | 17.7389 | 19.0 |
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  ### Framework versions
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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  - Tokenizers 0.15.1
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