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End of training

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  1. README.md +13 -13
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2924
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- - Rouge1: 44.4444
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- - Rouge2: 28.5714
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- - Rougel: 44.4444
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- - Rougelsum: 44.4444
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- - Gen Len: 8.0
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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 | Gen Len |
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- |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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- | No log | 1.0 | 1 | 2.4148 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
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- | No log | 2.0 | 2 | 1.8064 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
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- | No log | 3.0 | 3 | 1.4528 | 44.4444 | 28.5714 | 44.4444 | 44.4444 | 8.0 |
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- | No log | 4.0 | 4 | 1.2924 | 44.4444 | 28.5714 | 44.4444 | 44.4444 | 8.0 |
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  ### Framework versions
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  - Transformers 4.33.1
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- - Pytorch 1.13.0
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  - Datasets 2.14.5
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  - Tokenizers 0.13.3
 
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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0
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+ - Rouge1: 100.0
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+ - Rouge2: 100.0
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+ - Rougel: 100.0
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+ - Rougelsum: 100.0
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+ - Gen Len: 5.0
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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 | Gen Len |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | 0.0 | 1.0 | 4978 | 0.0 | 100.0 | 100.0 | 100.0 | 100.0 | 5.0 |
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+ | 0.0 | 2.0 | 9956 | 0.0 | 100.0 | 100.0 | 100.0 | 100.0 | 5.0 |
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+ | 0.0 | 3.0 | 14934 | 0.0 | 100.0 | 100.0 | 100.0 | 100.0 | 5.0 |
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+ | 0.0 | 4.0 | 19912 | 0.0 | 100.0 | 100.0 | 100.0 | 100.0 | 5.0 |
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  ### Framework versions
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  - Transformers 4.33.1
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+ - Pytorch 2.0.1+cu117
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  - Datasets 2.14.5
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  - Tokenizers 0.13.3
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