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: 1.7802
-- Rouge1: 0.4152
+- Loss: 1.4509
+- Rouge1: 0.6893
 - Rouge2: 0.0
-- Rougel: 0.4133
-- Rougelsum: 0.4149
+- Rougel: 0.6872
+- Rougelsum: 0.6862
 - 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 |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 3.3224        | 1.0   | 892  | 2.3843          | 0.6887 | 0.0    | 0.6879 | 0.6876    | 1.0     |
-| 2.913         | 2.0   | 1784 | 2.1557          | 0.7307 | 0.0    | 0.7301 | 0.7315    | 1.0     |
-| 2.7028        | 3.0   | 2676 | 1.9775          | 0.7149 | 0.0    | 0.7155 | 0.7105    | 1.0     |
-| 2.5387        | 4.0   | 3568 | 1.8682          | 0.7337 | 0.0    | 0.731  | 0.7295    | 1.0     |
-| 2.4084        | 5.0   | 4460 | 1.7802          | 0.696  | 0.0    | 0.6965 | 0.6913    | 1.0     |
+| 3.1762        | 1.0   | 892  | 2.2190          | 0.7537 | 0.0    | 0.7549 | 0.7532    | 1.0     |
+| 2.6396        | 2.0   | 1784 | 1.8945          | 0.6963 | 0.0    | 0.6949 | 0.6934    | 1.0     |
+| 2.3694        | 3.0   | 2676 | 1.6951          | 0.6912 | 0.0    | 0.6912 | 0.6889    | 1.0     |
+| 2.1722        | 4.0   | 3568 | 1.5595          | 0.6883 | 0.0    | 0.6851 | 0.6883    | 1.0     |
+| 2.0114        | 5.0   | 4460 | 1.4509          | 0.6893 | 0.0    | 0.6872 | 0.6862    | 1.0     |
 
 
 ### Framework versions

adapter-summarization/adapter_config.json

@@ -8,11 +8,11 @@
     "flat": false,
     "leave_out": [],
     "non_linearity": "tanh",
-    "prefix_length": 10,
+    "prefix_length": 20,
     "shared_gating": true,
     "use_gating": false
   },
-  "config_id": "e21f5a7ac06e3fee",
+  "config_id": "a62560183dec11a0",
   "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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