Model save

README.md

@@ -1,6 +1,4 @@
 ---
-language:
-- id
 license: apache-2.0
 base_model: LazarusNLP/IndoNanoT5-base
 tags:
@@ -19,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5140
-- Rouge1: 0.4728
+- Loss: 0.5019
+- Rouge1: 0.762
 - Rouge2: 0.0
-- Rougel: 0.476
-- Rougelsum: 0.4715
+- Rougel: 0.7611
+- Rougelsum: 0.7586
 - Gen Len: 1.0
 
 ## Model description
@@ -55,11 +53,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 0.8212        | 1.0   | 892  | 0.5616          | 0.77   | 0.0    | 0.7703 | 0.7685    | 1.0     |
-| 0.6185        | 2.0   | 1784 | 0.5593          | 0.7457 | 0.0    | 0.7436 | 0.7441    | 1.0     |
-| 0.5776        | 3.0   | 2676 | 0.5283          | 0.7664 | 0.0    | 0.7649 | 0.7639    | 1.0     |
-| 0.5535        | 4.0   | 3568 | 0.5193          | 0.7475 | 0.0    | 0.747  | 0.745     | 1.0     |
-| 0.5357        | 5.0   | 4460 | 0.5140          | 0.7665 | 0.0    | 0.7672 | 0.7666    | 1.0     |
+| 0.7782        | 1.0   | 892  | 0.5458          | 0.7706 | 0.0    | 0.7715 | 0.7691    | 1.0     |
+| 0.5952        | 2.0   | 1784 | 0.5551          | 0.7627 | 0.0    | 0.7591 | 0.7596    | 1.0     |
+| 0.551         | 3.0   | 2676 | 0.5163          | 0.7617 | 0.0    | 0.761  | 0.7609    | 1.0     |
+| 0.5236        | 4.0   | 3568 | 0.5064          | 0.7569 | 0.0    | 0.7553 | 0.7552    | 1.0     |
+| 0.5009        | 5.0   | 4460 | 0.5019          | 0.762  | 0.0    | 0.7611 | 0.7586    | 1.0     |
 
 
 ### Framework versions

adapter-summarization/adapter_config.json

@@ -12,11 +12,11 @@
     "intermediate_lora": false,
     "leave_out": [],
     "output_lora": false,
-    "r": 8,
+    "r": 16,
     "selfattn_lora": true,
     "use_gating": false
   },
-  "config_id": "625403edad0bf919",
+  "config_id": "141b248112091265",
   "hidden_size": 768,
   "model_class": "T5ForConditionalGeneration",
   "model_name": "LazarusNLP/IndoNanoT5-base",

adapter-summarization/pytorch_adapter.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2fa48e6286fea6effa6af94facca483000733e15f876076bdc4b88156e16ba54
-size 3593010
+oid sha256:4e04c1296246e9f983c32527a71ddfa039649bcdd502b4e6b91c9495859bd911
+size 7131954