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WingPatil
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my_awesome_billsum_model

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
Inference Endpoints
text-generation-inference
Model card Files Community
WingPatil commited on
Commit
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1 Parent(s): 2bff69d

End of training

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Files changed (4) hide show
  1. README.md +10 -10
  2. pytorch_model.bin +1 -1
  3. tokenizer.json +1 -1
  4. training_args.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 [t5-small](https://huggingface.co/t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.0267
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- - Rouge1: 0.0016
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- - Rouge2: 0.0
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- - Rougel: 0.0016
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- - Rougelsum: 0.0016
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- - Gen Len: 5.5
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  ## Model description
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@@ -53,10 +53,10 @@ 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 | 16 | 5.3570 | 0.0016 | 0.0 | 0.0016 | 0.0016 | 5.75 |
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- | No log | 2.0 | 32 | 5.1773 | 0.0 | 0.0 | 0.0 | 0.0 | 5.5938 |
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- | No log | 3.0 | 48 | 5.0684 | 0.0016 | 0.0 | 0.0016 | 0.0016 | 5.5625 |
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- | No log | 4.0 | 64 | 5.0267 | 0.0016 | 0.0 | 0.0016 | 0.0016 | 5.5 |
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 7.1407
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+ - Rouge1: 0.0496
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+ - Rouge2: 0.0168
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+ - Rougel: 0.0496
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+ - Rougelsum: 0.0496
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+ - Gen Len: 8.0
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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 | 1 | 7.4203 | 0.0496 | 0.0168 | 0.0496 | 0.0496 | 8.0 |
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+ | No log | 2.0 | 2 | 7.4203 | 0.0496 | 0.0168 | 0.0496 | 0.0496 | 8.0 |
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+ | No log | 3.0 | 3 | 7.3000 | 0.0496 | 0.0168 | 0.0496 | 0.0496 | 8.0 |
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+ | No log | 4.0 | 4 | 7.1407 | 0.0496 | 0.0168 | 0.0496 | 0.0496 | 8.0 |
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  ### Framework versions
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