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: 1.4051
-- Rouge1: 0.391
+- Loss: 1.2686
+- Rouge1: 0.6818
 - Rouge2: 0.0
-- Rougel: 0.3931
-- Rougelsum: 0.3933
+- Rougel: 0.6864
+- Rougelsum: 0.6834
 - 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 |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 3.1746        | 1.0   | 894  | 2.1959          | 0.7078 | 0.0    | 0.7098 | 0.7123    | 1.0     |
-| 2.6338        | 2.0   | 1788 | 1.8010          | 0.6756 | 0.0    | 0.6754 | 0.6777    | 1.0     |
-| 2.3554        | 3.0   | 2682 | 1.6357          | 0.6666 | 0.0    | 0.6694 | 0.6707    | 1.0     |
-| 2.1588        | 4.0   | 3576 | 1.5056          | 0.6936 | 0.0    | 0.6944 | 0.6927    | 1.0     |
-| 2.009         | 5.0   | 4470 | 1.4051          | 0.6787 | 0.0    | 0.6817 | 0.6796    | 1.0     |
+| 3.0441        | 1.0   | 894  | 1.9891          | 0.6966 | 0.0    | 0.698  | 0.6962    | 1.0     |
+| 2.4037        | 2.0   | 1788 | 1.6702          | 0.7078 | 0.0    | 0.7135 | 0.7146    | 1.0     |
+| 2.1345        | 3.0   | 2682 | 1.4640          | 0.6592 | 0.0    | 0.66   | 0.6572    | 1.0     |
+| 1.9436        | 4.0   | 3576 | 1.3521          | 0.6535 | 0.0    | 0.6545 | 0.6547    | 1.0     |
+| 1.7989        | 5.0   | 4470 | 1.2686          | 0.6818 | 0.0    | 0.6864 | 0.6834    | 1.0     |
 
 
 ### Framework versions

adapter-summarization/adapter_config.json

@@ -8,11 +8,11 @@
     "flat": false,
     "leave_out": [],
     "non_linearity": "tanh",
-    "prefix_length": 20,
+    "prefix_length": 30,
     "shared_gating": true,
     "use_gating": false
   },
-  "config_id": "a62560183dec11a0",
+  "config_id": "648bf22f5afeaaa6",
   "hidden_size": 768,
   "model_class": "T5ForConditionalGeneration",
   "model_name": "LazarusNLP/IndoNanoT5-base",

adapter-summarization/pytorch_adapter.bin

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adapter-summarization/pytorch_model_head.bin

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