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-base
-  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: 18.1827
+  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-base
 
-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: 5.4266
-- Rouge1: 18.1827
-- Rouge2: 5.5014
-- Rougel: 15.5147
-- Rougelsum: 16.9245
-- Gen Len: 35.116
+- Loss: 0.5170
+- Rouge1: 38.108
+- Rouge2: 27.5573
+- Rougel: 34.7198
+- Rougelsum: 36.6919
+- Gen Len: 56.589
 
 ## 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 |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| 3.8271        | 1.0   | 63   | 3.9787          | 14.5233 | 4.127  | 12.7611 | 13.5205   | 47.473  |
-| 2.2739        | 2.0   | 126  | 4.1316          | 15.9563 | 4.7752 | 13.8242 | 14.8005   | 44.229  |
-| 1.2999        | 3.0   | 189  | 4.4850          | 17.2932 | 4.6352 | 14.8582 | 16.1555   | 33.112  |
-| 0.6423        | 4.0   | 252  | 4.9200          | 17.5707 | 4.9772 | 14.949  | 16.1838   | 36.399  |
-| 0.2536        | 5.0   | 315  | 5.4266          | 17.698  | 4.7021 | 14.8138 | 16.3595   | 31.108  |
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 1.6488        | 1.0   | 63   | 0.7318          | 34.224  | 24.5266 | 31.0318 | 32.8875   | 65.191  |
+| 0.6983        | 2.0   | 126  | 0.6433          | 37.3155 | 27.3019 | 33.9529 | 36.1013   | 65.46   |
+| 0.4226        | 3.0   | 189  | 0.5831          | 36.9679 | 26.3535 | 33.5956 | 35.7604   | 59.969  |
+| 0.242         | 4.0   | 252  | 0.5539          | 39.0802 | 28.4622 | 35.8085 | 37.8181   | 55.301  |
+| 0.1248        | 5.0   | 315  | 0.5170          | 38.108  | 27.5573 | 34.7198 | 36.6919   | 56.589  |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c38d28781b39e1a6325270749775adc02463abd3f9fcac421dedb07e3f3ced93
+oid sha256:a22980c0bcad53969134b90eea18cdb0f7f9ab6a80cf77ef13777c69f815c489
 size 990348536