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vsamuel
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scifive_five_epoch

Text2Text Generation
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t5
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text-generation-inference
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  1. README.md +13 -13
  2. model.safetensors +1 -1
  3. runs/Jan28_19-05-29_8789129c3372/events.out.tfevents.1706468730.8789129c3372.437.1 +2 -2
README.md CHANGED
@@ -16,11 +16,11 @@ 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: 2.1218
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- - Rouge1: 0.3765
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- - Rouge2: 0.214
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- - Rougel: 0.3144
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- - Rougelsum: 0.3146
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  - Gen Len: 17.78
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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 | 2.4847 | 0.2245 | 0.1102 | 0.1992 | 0.1996 | 15.8 |
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- | No log | 2.0 | 426 | 2.2700 | 0.309 | 0.1671 | 0.2616 | 0.2609 | 17.61 |
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- | 2.4677 | 3.0 | 639 | 2.1797 | 0.345 | 0.1914 | 0.2891 | 0.2889 | 17.85 |
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- | 2.4677 | 4.0 | 852 | 2.1419 | 0.3665 | 0.2104 | 0.3063 | 0.3067 | 17.67 |
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- | 1.9093 | 5.0 | 1065 | 2.1218 | 0.3765 | 0.214 | 0.3144 | 0.3146 | 17.78 |
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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: 1.9038
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+ - Rouge1: 0.3532
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+ - Rouge2: 0.1988
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+ - Rougel: 0.2922
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+ - Rougelsum: 0.2938
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  - Gen Len: 17.78
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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 | 2.2317 | 0.2625 | 0.1384 | 0.2222 | 0.2216 | 16.68 |
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+ | 2.4127 | 2.0 | 550 | 2.0008 | 0.3456 | 0.1909 | 0.2904 | 0.2898 | 18.24 |
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+ | 2.4127 | 3.0 | 825 | 1.9520 | 0.3624 | 0.2103 | 0.3047 | 0.3048 | 17.88 |
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+ | 1.8512 | 4.0 | 1100 | 1.9108 | 0.3694 | 0.2119 | 0.3056 | 0.3063 | 17.84 |
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+ | 1.8512 | 5.0 | 1375 | 1.9038 | 0.3532 | 0.1988 | 0.2922 | 0.2938 | 17.78 |
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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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