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xl_sum_model_1

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review-summarizer-en

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  1. README.md +10 -11
  2. model.safetensors +1 -1
  3. tokenizer.json +2 -2
README.md CHANGED
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  ---
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- license: apache-2.0
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- base_model: t5-small
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -15,14 +14,14 @@ should probably proofread and complete it, then remove this comment. -->
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  # xl_sum_model_1
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- This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.6992
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- - Rouge1: 0.2389
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- - Rouge2: 0.0458
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- - Rougel: 0.1799
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- - Rougelsum: 0.1797
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- - Gen Len: 18.723
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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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- | 3.427 | 1.0 | 625 | 2.7212 | 0.2314 | 0.0444 | 0.174 | 0.1737 | 18.723 |
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- | 3.314 | 2.0 | 1250 | 2.6992 | 0.2389 | 0.0458 | 0.1799 | 0.1797 | 18.723 |
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  ### Framework versions
 
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  ---
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+ base_model: MurkatG/review-summarizer-en
 
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # xl_sum_model_1
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+ This model is a fine-tuned version of [MurkatG/review-summarizer-en](https://huggingface.co/MurkatG/review-summarizer-en) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.3552
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+ - Rouge1: 0.2056
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+ - Rouge2: 0.0331
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+ - Rougel: 0.1587
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+ - Rougelsum: 0.1587
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+ - Gen Len: 18.844
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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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+ | 4.5212 | 1.0 | 625 | 3.4162 | 0.1983 | 0.0327 | 0.1559 | 0.1561 | 18.819 |
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+ | 4.3017 | 2.0 | 1250 | 3.3552 | 0.2056 | 0.0331 | 0.1587 | 0.1587 | 18.844 |
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  ### Framework versions
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