thanhnamitit
/

my_awesome_billsum_model

Text2Text Generation

Generated from Trainer

text-generation-inference

Inference Endpoints

Model card Files Files and versions Community

thanhnamitit commited on Oct 14, 2023

Commit

27583e5

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1 Parent(s): e3caa8f

End of training

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README.md +10 -10
pytorch_model.bin +2 -2
training_args.bin +1 -1

README.md CHANGED Viewed

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 0.1402
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,11 +32,11 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.5140
-- Rouge1: 0.1402
-- Rouge2: 0.0501
-- Rougel: 0.1147
-- Rougelsum: 0.1146
 - Gen Len: 19.0
 ## Model description
@@ -68,10 +68,10 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 62   | 2.8073          | 0.1266 | 0.038  | 0.1069 | 0.1069    | 19.0    |
-| No log        | 2.0   | 124  | 2.5952          | 0.134  | 0.0472 | 0.1114 | 0.1115    | 19.0    |
-| No log        | 3.0   | 186  | 2.5313          | 0.1391 | 0.0498 | 0.114  | 0.1139    | 19.0    |
-| No log        | 4.0   | 248  | 2.5140          | 0.1402 | 0.0501 | 0.1147 | 0.1146    | 19.0    |
 ### Framework versions

     metrics:
     - name: Rouge1
       type: rouge
+      value: 0.1376
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
 It achieves the following results on the evaluation set:
+- Loss: 2.5545
+- Rouge1: 0.1376
+- Rouge2: 0.0498
+- Rougel: 0.1127
+- Rougelsum: 0.1122
 - Gen Len: 19.0
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 62   | 2.8464          | 0.1221 | 0.0329 | 0.101  | 0.101     | 19.0    |
+| No log        | 2.0   | 124  | 2.6342          | 0.1311 | 0.0426 | 0.1078 | 0.1076    | 19.0    |
+| No log        | 3.0   | 186  | 2.5714          | 0.1375 | 0.0502 | 0.113  | 0.1127    | 19.0    |
+| No log        | 4.0   | 248  | 2.5545          | 0.1376 | 0.0498 | 0.1127 | 0.1122    | 19.0    |
 ### Framework versions

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