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: 0.5838
-- Rouge1: 0.5174
+- Loss: 0.5652
+- Rouge1: 0.5057
 - Rouge2: 0.0
-- Rougel: 0.523
-- Rougelsum: 0.5165
+- Rougel: 0.5089
+- Rougelsum: 0.5041
 - 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 |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 1.3911        | 1.0   | 1783 | 0.6611          | 0.4074 | 0.0    | 0.4062 | 0.4066    | 1.0     |
-| 0.8526        | 2.0   | 3566 | 0.6167          | 0.5108 | 0.0    | 0.515  | 0.51      | 1.0     |
-| 0.7928        | 3.0   | 5349 | 0.5968          | 0.4966 | 0.0    | 0.5042 | 0.4969    | 1.0     |
-| 0.7651        | 4.0   | 7132 | 0.5860          | 0.5171 | 0.0    | 0.5228 | 0.5173    | 1.0     |
-| 0.7528        | 5.0   | 8915 | 0.5838          | 0.5174 | 0.0    | 0.523  | 0.5165    | 1.0     |
+| 1.2298        | 1.0   | 1783 | 0.6183          | 0.5036 | 0.0    | 0.5051 | 0.5002    | 1.0     |
+| 0.7893        | 2.0   | 3566 | 0.5936          | 0.5166 | 0.0    | 0.5199 | 0.5139    | 1.0     |
+| 0.7368        | 3.0   | 5349 | 0.5787          | 0.517  | 0.0    | 0.5231 | 0.516     | 1.0     |
+| 0.7107        | 4.0   | 7132 | 0.5670          | 0.5105 | 0.0    | 0.5148 | 0.5089    | 1.0     |
+| 0.6989        | 5.0   | 8915 | 0.5652          | 0.5057 | 0.0    | 0.5089 | 0.5041    | 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 sha256:8379347c8327fadf3ebd35823d389c16d8e23e015a03ee837acb975ddd85bb6a
-size 3593010
+oid sha256:73dc2313e48c9cbc6e2f07773e7c6dd2ac34052c433072cedfdaeb708aaef248
+size 7131954