Model save

README.md

@@ -1,6 +1,4 @@
 ---
-language:
-- id
 license: apache-2.0
 base_model: LazarusNLP/IndoNanoT5-base
 tags:
@@ -11,20 +9,7 @@ metrics:
 - rouge
 model-index:
 - name: liputan6-pt-pl50
-  results:
-  - task:
-      name: Summarization
-      type: summarization
-    dataset:
-      name: id_liputan6 canonical
-      type: id_liputan6
-      config: canonical
-      split: validation
-      args: canonical
-    metrics:
-    - name: Rouge1
-      type: rouge
-      value: 19.8017
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,14 +17,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # liputan6-pt-pl50
 
-This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on the id_liputan6 canonical dataset.
+This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on the id_liputan6 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.7533
-- Rouge1: 19.8017
-- Rouge2: 5.8239
-- Rougel: 17.0737
-- Rougelsum: 18.0279
-- Gen Len: 30.789
+- Loss: 2.6722
+- Rouge1: 34.8229
+- Rouge2: 22.044
+- Rougel: 30.8324
+- Rougelsum: 33.0138
+- Gen Len: 52.623
 
 ## Model description
 
@@ -68,13 +53,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| 4.7245        | 1.0   | 63   | 3.9912          | 16.8276 | 3.6927 | 14.367  | 15.3151   | 30.652  |
-| 3.9104        | 2.0   | 126  | 3.8609          | 17.712  | 4.2061 | 14.9465 | 15.9818   | 35.104  |
-| 3.6651        | 3.0   | 189  | 3.8036          | 18.8508 | 4.6943 | 15.8363 | 17.0134   | 30.749  |
-| 3.4442        | 4.0   | 252  | 3.7533          | 19.7665 | 5.1425 | 16.7615 | 18.1456   | 28.31   |
-| 3.2664        | 5.0   | 315  | 3.7381          | 19.5385 | 5.1106 | 16.7601 | 17.9271   | 29.142  |
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 4.2782        | 1.0   | 63   | 3.2600          | 25.0139 | 13.1669 | 22.4852 | 23.5026   | 38.037  |
+| 3.3831        | 2.0   | 126  | 3.0118          | 28.0005 | 15.5199 | 25.1006 | 26.3175   | 51.621  |
+| 3.0732        | 3.0   | 189  | 2.8226          | 31.6641 | 18.1569 | 27.8004 | 29.8463   | 51.938  |
+| 2.83          | 4.0   | 252  | 2.7181          | 34.3328 | 21.5065 | 30.323  | 32.3623   | 51.327  |
+| 2.6441        | 5.0   | 315  | 2.6722          | 34.8229 | 22.044  | 30.8324 | 33.0138   | 52.623  |
 
 
 ### Framework versions

adapter-summarization/pytorch_adapter.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7eaf20f2c4226ab26076ca31fff4b4977ee5120b9855939df4ac0b7694017c87
+oid sha256:08076ce9026f2be1da29e374e91e87b6cecef6dbc295a69e06546a5b59231a12
 size 118783297