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xl_sum_model_1

Text2Text Generation

Generated from Trainer

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MeetK commited on Dec 5, 2023

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1 Parent(s): 9435b3e

review-summarizer-en

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README.md +10 -11
model.safetensors +1 -1
tokenizer.json +2 -2

README.md CHANGED Viewed

@@ -1,6 +1,5 @@
 ---
-license: apache-2.0
-base_model: t5-small
 tags:
 - generated_from_trainer
 metrics:
@@ -15,14 +14,14 @@ should probably proofread and complete it, then remove this comment. -->
 # xl_sum_model_1
-This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.6992
-- Rouge1: 0.2389
-- Rouge2: 0.0458
-- Rougel: 0.1799
-- Rougelsum: 0.1797
-- Gen Len: 18.723
 ## Model description
@@ -53,8 +52,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 3.427         | 1.0   | 625  | 2.7212          | 0.2314 | 0.0444 | 0.174  | 0.1737    | 18.723  |
-| 3.314         | 2.0   | 1250 | 2.6992          | 0.2389 | 0.0458 | 0.1799 | 0.1797    | 18.723  |
 ### Framework versions

 ---
+base_model: MurkatG/review-summarizer-en
 tags:
 - generated_from_trainer
 metrics:
 # xl_sum_model_1
+This model is a fine-tuned version of [MurkatG/review-summarizer-en](https://huggingface.co/MurkatG/review-summarizer-en) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 3.3552
+- Rouge1: 0.2056
+- Rouge2: 0.0331
+- Rougel: 0.1587
+- Rougelsum: 0.1587
+- Gen Len: 18.844
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 4.5212        | 1.0   | 625  | 3.4162          | 0.1983 | 0.0327 | 0.1559 | 0.1561    | 18.819  |
+| 4.3017        | 2.0   | 1250 | 3.3552          | 0.2056 | 0.0331 | 0.1587 | 0.1587    | 18.844  |
 ### Framework versions

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