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-unipelt
-  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: 6.2596
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # liputan6-unipelt
 
-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: 3.9181
-- Rouge1: 6.2596
-- Rouge2: 1.3631
-- Rougel: 5.5527
-- Rougelsum: 5.702
+- Loss: 2.3672
+- Rouge1: 5.0669
+- Rouge2: 1.0704
+- Rougel: 3.6335
+- Rougelsum: 4.1011
 - Gen Len: 127.0
 
 ## Model description
@@ -70,11 +55,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 4.4282        | 1.0   | 63   | 3.9181          | 6.5087 | 1.1507 | 5.6509 | 5.8646    | 127.0   |
-| 3.5887        | 2.0   | 126  | 3.7178          | 2.446  | 0.2311 | 2.2699 | 2.3165    | 127.0   |
-| 3.2648        | 3.0   | 189  | 3.6481          | 2.5164 | 0.1545 | 2.3984 | 2.4483    | 127.0   |
-| 3.0219        | 4.0   | 252  | 3.6384          | 1.8155 | 0.0676 | 1.7586 | 1.7921    | 127.0   |
-| 2.8422        | 5.0   | 315  | 3.6316          | 1.8166 | 0.0438 | 1.7867 | 1.8115    | 127.0   |
+| 3.9747        | 1.0   | 63   | 3.1043          | 3.9543 | 1.0191 | 3.7375 | 3.7922    | 127.0   |
+| 3.0262        | 2.0   | 126  | 2.7314          | 5.0276 | 1.3105 | 4.1292 | 4.3574    | 127.0   |
+| 2.6214        | 3.0   | 189  | 2.5645          | 5.2587 | 1.2673 | 3.8487 | 4.3728    | 127.0   |
+| 2.3496        | 4.0   | 252  | 2.4158          | 4.4309 | 0.9142 | 3.2152 | 3.5296    | 127.0   |
+| 2.1749        | 5.0   | 315  | 2.3672          | 5.0669 | 1.0704 | 3.6335 | 4.1011    | 127.0   |
 
 
 ### Framework versions

adapter-summarization/pytorch_adapter.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e4eee398b1987593b21fd37fae24b6b5da9339ba45d31466812370e957f3cd4a
+oid sha256:49db077952a1e5a4461d6bc47b4a109b1551c58d0f986fd31b79d55dc19eeb3a
 size 129710588