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flan-t5-large-extraction-cnndm_2000-all

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
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update model card README.md

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@@ -17,10 +17,10 @@ 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-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.7621
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- - Rouge1: 34.963
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- - Rouge2: 15.1994
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- - Rougel: 29.9909
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- - Rougelsum: 29.9232
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  - Gen Len: 18.986
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  ## Model description
@@ -52,14 +52,14 @@ 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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- | 2.1649 | 0.8 | 200 | 1.8161 | 34.9618 | 14.8941 | 29.8411 | 29.7532 | 19.0 |
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- | 1.9114 | 1.6 | 400 | 1.7713 | 34.92 | 14.6313 | 29.8003 | 29.7255 | 18.986 |
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- | 1.7997 | 2.4 | 600 | 1.7917 | 34.1489 | 14.7666 | 29.6409 | 29.6005 | 18.99 |
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- | 1.7477 | 3.2 | 800 | 1.7771 | 35.0922 | 15.3054 | 30.0079 | 29.947 | 18.99 |
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- | 1.6821 | 4.0 | 1000 | 1.7621 | 34.963 | 15.1994 | 29.9909 | 29.9232 | 18.986 |
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- | 1.6301 | 4.8 | 1200 | 1.7796 | 34.3668 | 14.8229 | 29.5801 | 29.5603 | 18.99 |
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- | 1.597 | 5.6 | 1400 | 1.7669 | 35.4432 | 15.7343 | 30.4375 | 30.4254 | 18.99 |
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- | 1.5543 | 6.4 | 1600 | 1.7857 | 34.5344 | 15.0743 | 29.8556 | 29.7892 | 18.99 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.7621
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+ - Rouge1: 34.9258
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+ - Rouge2: 15.2218
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+ - Rougel: 29.9813
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+ - Rougelsum: 29.9443
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  - Gen Len: 18.986
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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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+ | 2.1649 | 0.8 | 200 | 1.8161 | 34.9143 | 14.9085 | 29.8629 | 29.811 | 19.0 |
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+ | 1.9114 | 1.6 | 400 | 1.7713 | 34.8733 | 14.6521 | 29.8186 | 29.7829 | 18.986 |
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+ | 1.7997 | 2.4 | 600 | 1.7917 | 34.1481 | 14.7443 | 29.7078 | 29.6144 | 18.99 |
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+ | 1.7477 | 3.2 | 800 | 1.7771 | 35.0882 | 15.3186 | 29.9749 | 29.9643 | 18.99 |
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+ | 1.6821 | 4.0 | 1000 | 1.7621 | 34.9258 | 15.2218 | 29.9813 | 29.9443 | 18.986 |
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+ | 1.6301 | 4.8 | 1200 | 1.7796 | 34.3705 | 14.8013 | 29.6128 | 29.5457 | 18.99 |
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+ | 1.597 | 5.6 | 1400 | 1.7669 | 35.4342 | 15.7045 | 30.4953 | 30.4293 | 18.99 |
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+ | 1.5543 | 6.4 | 1600 | 1.7857 | 34.5322 | 15.0244 | 29.8476 | 29.7596 | 18.99 |
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  ### Framework versions