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t5_recommendation_sports_equipment

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README.md CHANGED
@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3870
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- - Rouge1: 62.6984
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  - Rouge2: 57.1429
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  - Rougel: 62.6984
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- - Rougelsum: 63.4921
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  - Gen Len: 4.0476
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  ## Model description
@@ -55,16 +55,16 @@ 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 | 0.96 | 6 | 7.0208 | 13.5890 | 1.8519 | 13.5974 | 13.6588 | 18.7143 |
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- | No log | 1.92 | 12 | 1.8113 | 20.4762 | 14.2857 | 20.4762 | 20.9524 | 3.6667 |
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- | No log | 2.88 | 18 | 0.6189 | 26.9841 | 9.5238 | 26.9841 | 26.1905 | 3.7143 |
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- | No log | 4.0 | 25 | 0.4762 | 46.0317 | 33.3333 | 46.0317 | 45.2381 | 3.9524 |
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- | No log | 4.96 | 31 | 0.5373 | 57.4603 | 47.6190 | 56.6667 | 57.7778 | 4.0 |
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  | No log | 5.92 | 37 | 0.4113 | 62.6984 | 57.1429 | 61.9048 | 62.6984 | 3.8571 |
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- | No log | 6.88 | 43 | 0.4039 | 62.6984 | 57.1429 | 62.6984 | 63.4921 | 4.0952 |
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- | No log | 8.0 | 50 | 0.4728 | 62.6984 | 57.1429 | 62.6984 | 63.4921 | 4.0476 |
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- | No log | 8.96 | 56 | 0.4161 | 62.6984 | 57.1429 | 62.6984 | 63.4921 | 4.0476 |
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- | No log | 9.6 | 60 | 0.3870 | 62.6984 | 57.1429 | 62.6984 | 63.4921 | 4.0476 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3870
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+ - Rouge1: 63.4921
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  - Rouge2: 57.1429
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  - Rougel: 62.6984
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+ - Rougelsum: 62.6984
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  - Gen Len: 4.0476
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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 | 0.96 | 6 | 7.0208 | 13.4261 | 1.8519 | 13.7206 | 13.5434 | 18.7143 |
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+ | No log | 1.92 | 12 | 1.8113 | 20.9524 | 14.2857 | 20.9524 | 20.9524 | 3.6667 |
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+ | No log | 2.88 | 18 | 0.6189 | 26.1905 | 9.5238 | 26.9841 | 26.9841 | 3.7143 |
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+ | No log | 4.0 | 25 | 0.4762 | 45.2381 | 33.3333 | 45.2381 | 45.2381 | 3.9524 |
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+ | No log | 4.96 | 31 | 0.5373 | 57.7778 | 47.6190 | 57.4603 | 57.1429 | 4.0 |
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  | No log | 5.92 | 37 | 0.4113 | 62.6984 | 57.1429 | 61.9048 | 62.6984 | 3.8571 |
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+ | No log | 6.88 | 43 | 0.4039 | 63.4921 | 57.1429 | 62.6984 | 62.6984 | 4.0952 |
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+ | No log | 8.0 | 50 | 0.4728 | 63.4921 | 57.1429 | 62.6984 | 62.6984 | 4.0476 |
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+ | No log | 8.96 | 56 | 0.4161 | 63.4921 | 57.1429 | 62.6984 | 62.6984 | 4.0476 |
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+ | No log | 9.6 | 60 | 0.3870 | 63.4921 | 57.1429 | 62.6984 | 62.6984 | 4.0476 |
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  ### Framework versions
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