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vsamuel
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scifive_seven_epoch

Text2Text Generation
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t5
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text-generation-inference
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  1. README.md +16 -16
  2. model.safetensors +1 -1
  3. runs/Jan28_19-15-07_8789129c3372/events.out.tfevents.1706469308.8789129c3372.437.2 +2 -2
README.md CHANGED
@@ -16,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [razent/SciFive-base-Pubmed_PMC](https://huggingface.co/razent/SciFive-base-Pubmed_PMC) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.0288
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- - Rouge1: 0.3688
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- - Rouge2: 0.2175
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- - Rougel: 0.3151
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- - Rougelsum: 0.3142
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- - Gen Len: 17.8
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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 | 213 | 2.4562 | 0.2339 | 0.1185 | 0.2017 | 0.2029 | 15.98 |
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- | No log | 2.0 | 426 | 2.2406 | 0.3206 | 0.1828 | 0.2827 | 0.283 | 17.76 |
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- | 2.4493 | 3.0 | 639 | 2.1363 | 0.3769 | 0.2128 | 0.3129 | 0.3127 | 17.8 |
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- | 2.4493 | 4.0 | 852 | 2.0885 | 0.3667 | 0.2127 | 0.312 | 0.312 | 17.84 |
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- | 1.8621 | 5.0 | 1065 | 2.0561 | 0.3808 | 0.2232 | 0.3249 | 0.3236 | 17.84 |
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- | 1.8621 | 6.0 | 1278 | 2.0343 | 0.3686 | 0.2183 | 0.3167 | 0.3164 | 17.93 |
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- | 1.8621 | 7.0 | 1491 | 2.0288 | 0.3688 | 0.2175 | 0.3151 | 0.3142 | 17.8 |
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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 [razent/SciFive-base-Pubmed_PMC](https://huggingface.co/razent/SciFive-base-Pubmed_PMC) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8379
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+ - Rouge1: 0.3666
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+ - Rouge2: 0.2139
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+ - Rougel: 0.307
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+ - Rougelsum: 0.3084
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+ - Gen Len: 17.53
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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 | 275 | 2.2065 | 0.2714 | 0.1462 | 0.2336 | 0.2327 | 17.09 |
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+ | 2.4022 | 2.0 | 550 | 1.9771 | 0.339 | 0.1958 | 0.2907 | 0.2911 | 17.76 |
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+ | 2.4022 | 3.0 | 825 | 1.9156 | 0.3652 | 0.2128 | 0.3035 | 0.3046 | 17.73 |
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+ | 1.8204 | 4.0 | 1100 | 1.8698 | 0.37 | 0.2197 | 0.3103 | 0.3102 | 17.37 |
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+ | 1.8204 | 5.0 | 1375 | 1.8525 | 0.3638 | 0.2103 | 0.3042 | 0.3049 | 17.65 |
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+ | 1.694 | 6.0 | 1650 | 1.8384 | 0.3713 | 0.2175 | 0.3104 | 0.3113 | 17.55 |
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+ | 1.694 | 7.0 | 1925 | 1.8379 | 0.3666 | 0.2139 | 0.307 | 0.3084 | 17.53 |
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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 2.16.1
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+ - Tokenizers 0.15.1
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