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t5-small-finetuned-tf-xsum

Text2Text Generation
Transformers
TensorFlow
TensorBoard
t5
generated_from_keras_callback
text-generation-inference
Inference Endpoints
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Mohammed Brıman commited on
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d09c07c
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1 Parent(s): 7a9867b

End of training

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Files changed (4) hide show
  1. README.md +9 -8
  2. logs/train/events.out.tfevents.1657982853.11789b5d8850.81.1.v2 +2 -2
  3. logs/validation/events.out.tfevents.1657999666.11789b5d8850.81.2.v2 +2 -2
  4. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,14 +14,14 @@ 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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- - Train Loss: 2.7197
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- - Validation Loss: 2.4028
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- - Train Rouge1: 29.6376
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- - Train Rouge2: 8.8596
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- - Train Rougel: 22.8598
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- - Train Rougelsum: 22.8401
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- - Train Gen Len: 18.82
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- - Epoch: 0
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  ## Model description
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@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
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  |:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
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  | 2.7197 | 2.4028 | 29.6376 | 8.8596 | 22.8598 | 22.8401 | 18.82 | 0 |
 
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  ### Framework versions
 
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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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+ - Train Loss: 2.5822
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+ - Validation Loss: 2.3407
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+ - Train Rouge1: 30.6849
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+ - Train Rouge2: 9.3100
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+ - Train Rougel: 23.8971
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+ - Train Rougelsum: 23.9096
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+ - Train Gen Len: 18.745
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+ - Epoch: 1
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  ## Model description
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  | Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
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  |:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
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  | 2.7197 | 2.4028 | 29.6376 | 8.8596 | 22.8598 | 22.8401 | 18.82 | 0 |
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+ | 2.5822 | 2.3407 | 30.6849 | 9.3100 | 23.8971 | 23.9096 | 18.745 | 1 |
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  ### Framework versions
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