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maximo-t5-normalize

Text2Text Generation
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t5
Generated from Trainer
text-generation-inference
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  1. README.md +17 -17
  2. model.safetensors +1 -1
  3. runs/Dec15_03-40-28_b763d5f39da5/events.out.tfevents.1702611635.b763d5f39da5.369.0 +3 -0
  4. runs/Dec15_03-49-44_b763d5f39da5/events.out.tfevents.1702612189.b763d5f39da5.369.1 +3 -0
  5. 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 [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2842
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- - Rouge1: 64.1043
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- - Rouge2: 39.0476
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- - Rougel: 60.3628
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- - Rougelsum: 60.9297
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- - Gen Len: 14.5714
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  ## Model description
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@@ -53,21 +53,21 @@ 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 | 8 | 2.0867 | 15.5226 | 0.0 | 11.4409 | 11.4409 | 15.5714 |
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- | No log | 2.0 | 16 | 1.1098 | 21.0884 | 0.0 | 20.5782 | 20.7483 | 17.0 |
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- | No log | 3.0 | 24 | 0.6635 | 52.381 | 21.4286 | 51.9728 | 52.381 | 11.0 |
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- | No log | 4.0 | 32 | 0.5018 | 52.8571 | 29.5238 | 51.7007 | 52.381 | 11.5714 |
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- | No log | 5.0 | 40 | 0.4491 | 56.7347 | 28.5714 | 53.1293 | 53.5828 | 12.7143 |
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- | No log | 6.0 | 48 | 0.3894 | 60.4535 | 38.5714 | 57.7551 | 57.8685 | 13.8571 |
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- | No log | 7.0 | 56 | 0.3616 | 60.4535 | 38.5714 | 57.7551 | 57.8685 | 14.0 |
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- | No log | 8.0 | 64 | 0.3140 | 64.1043 | 39.0476 | 60.3628 | 60.9297 | 14.5714 |
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- | No log | 9.0 | 72 | 0.2880 | 64.1043 | 39.0476 | 60.3628 | 60.9297 | 14.5714 |
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- | No log | 10.0 | 80 | 0.2842 | 64.1043 | 39.0476 | 60.3628 | 60.9297 | 14.5714 |
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  ### Framework versions
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  - Transformers 4.35.2
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- - Pytorch 2.1.0+cu118
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  - Datasets 2.15.0
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  - Tokenizers 0.15.0
 
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  This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4302
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+ - Rouge1: 63.0769
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+ - Rouge2: 60.1732
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+ - Rougel: 63.5165
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+ - Rougelsum: 63.0769
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+ - Gen Len: 11.8571
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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 | 8 | 2.3782 | 13.5065 | 0.0 | 13.7662 | 13.7662 | 11.0 |
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+ | No log | 2.0 | 16 | 1.5121 | 36.1472 | 21.4286 | 37.6314 | 37.6314 | 15.4286 |
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+ | No log | 3.0 | 24 | 1.0687 | 42.449 | 28.5714 | 44.0816 | 44.0816 | 10.1429 |
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+ | No log | 4.0 | 32 | 0.8164 | 44.898 | 34.2857 | 46.9388 | 46.9388 | 12.8571 |
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+ | No log | 5.0 | 40 | 0.6774 | 53.0887 | 43.8095 | 53.9325 | 54.8234 | 12.0 |
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+ | No log | 6.0 | 48 | 0.5566 | 50.7483 | 45.2381 | 51.5646 | 52.381 | 10.2857 |
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+ | No log | 7.0 | 56 | 0.4936 | 63.0769 | 60.1732 | 63.5165 | 63.0769 | 10.5714 |
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+ | No log | 8.0 | 64 | 0.4619 | 63.0769 | 60.1732 | 63.5165 | 63.0769 | 11.8571 |
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+ | No log | 9.0 | 72 | 0.4368 | 63.0769 | 60.1732 | 63.5165 | 63.0769 | 11.8571 |
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+ | No log | 10.0 | 80 | 0.4302 | 63.0769 | 60.1732 | 63.5165 | 63.0769 | 11.8571 |
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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 2.15.0
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  - Tokenizers 0.15.0
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