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text2text-generation
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text-generation-inference
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ativilambit/neu-faq

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  1. README.md +18 -16
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,11 +17,11 @@ 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-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8324
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- - Rouge1: 0.2155
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- - Rouge2: 0.1170
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- - Rougel: 0.1827
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- - Rougelsum: 0.2039
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  ## Model description
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@@ -46,22 +46,24 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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- | No log | 1.0 | 17 | 0.9685 | 0.2008 | 0.1092 | 0.1756 | 0.1881 |
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- | No log | 2.0 | 34 | 1.0002 | 0.1939 | 0.0984 | 0.1655 | 0.1823 |
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- | No log | 3.0 | 51 | 0.8892 | 0.1916 | 0.1092 | 0.1691 | 0.1829 |
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- | No log | 4.0 | 68 | 0.8667 | 0.1964 | 0.1076 | 0.1704 | 0.1877 |
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- | No log | 5.0 | 85 | 0.8601 | 0.2088 | 0.1076 | 0.1764 | 0.1971 |
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- | No log | 6.0 | 102 | 0.8587 | 0.2105 | 0.1120 | 0.1803 | 0.1997 |
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- | No log | 7.0 | 119 | 0.8526 | 0.2092 | 0.1105 | 0.1788 | 0.1996 |
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- | No log | 8.0 | 136 | 0.8432 | 0.2131 | 0.1149 | 0.1809 | 0.2019 |
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- | No log | 9.0 | 153 | 0.8370 | 0.2155 | 0.1170 | 0.1827 | 0.2039 |
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- | No log | 10.0 | 170 | 0.8324 | 0.2155 | 0.1170 | 0.1827 | 0.2039 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8470
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+ - Rouge1: 0.2057
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+ - Rouge2: 0.1147
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+ - Rougel: 0.1782
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+ - Rougelsum: 0.1958
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - training_steps: 200
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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+ | No log | 1.0 | 17 | 1.2660 | 0.1999 | 0.1058 | 0.1703 | 0.1847 |
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+ | No log | 2.0 | 34 | 1.1230 | 0.2144 | 0.1178 | 0.1823 | 0.2017 |
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+ | No log | 3.0 | 51 | 1.0869 | 0.2106 | 0.1181 | 0.1870 | 0.2010 |
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+ | No log | 4.0 | 68 | 0.9919 | 0.2110 | 0.1205 | 0.1883 | 0.2036 |
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+ | No log | 5.0 | 85 | 1.0286 | 0.2009 | 0.1078 | 0.1749 | 0.1935 |
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+ | No log | 6.0 | 102 | 0.9935 | 0.2042 | 0.1096 | 0.1775 | 0.1958 |
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+ | No log | 7.0 | 119 | 0.9676 | 0.2132 | 0.1231 | 0.1887 | 0.2068 |
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+ | No log | 8.0 | 136 | 0.9297 | 0.2062 | 0.1155 | 0.1824 | 0.1992 |
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+ | No log | 9.0 | 153 | 0.9009 | 0.2101 | 0.1181 | 0.1853 | 0.2027 |
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+ | No log | 10.0 | 170 | 0.8658 | 0.2088 | 0.1179 | 0.1840 | 0.2021 |
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+ | No log | 11.0 | 187 | 0.8495 | 0.2061 | 0.1146 | 0.1791 | 0.1972 |
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+ | No log | 11.76 | 200 | 0.8470 | 0.2057 | 0.1147 | 0.1782 | 0.1958 |
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  ### Framework versions
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