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: 2.2597
-- Rouge1: 0.4544
+- Loss: 2.2389
+- Rouge1: 0.4284
 - Rouge2: 0.0
-- Rougel: 0.4545
-- Rougelsum: 0.4552
+- Rougel: 0.431
+- Rougelsum: 0.4286
 - 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 |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 3.5583        | 1.0   | 1783 | 2.6005          | 0.4848 | 0.0    | 0.4883 | 0.4866    | 1.0     |
-| 3.0833        | 2.0   | 3566 | 2.4167          | 0.4635 | 0.0    | 0.4663 | 0.4673    | 1.0     |
-| 2.9538        | 3.0   | 5349 | 2.3432          | 0.5124 | 0.0    | 0.5075 | 0.5087    | 1.0     |
-| 2.8804        | 4.0   | 7132 | 2.2964          | 0.4384 | 0.0    | 0.4392 | 0.4405    | 1.0     |
-| 2.8424        | 5.0   | 8915 | 2.2597          | 0.4544 | 0.0    | 0.4545 | 0.4552    | 1.0     |
+| 3.5006        | 1.0   | 1783 | 2.5353          | 0.571  | 0.0    | 0.5726 | 0.5713    | 1.0     |
+| 2.9963        | 2.0   | 3566 | 2.3939          | 0.4906 | 0.0    | 0.4911 | 0.4909    | 1.0     |
+| 2.8832        | 3.0   | 5349 | 2.3137          | 0.4144 | 0.0    | 0.4158 | 0.4144    | 1.0     |
+| 2.8145        | 4.0   | 7132 | 2.2872          | 0.4356 | 0.0    | 0.435  | 0.4361    | 1.0     |
+| 2.7759        | 5.0   | 8915 | 2.2389          | 0.4284 | 0.0    | 0.431  | 0.4286    | 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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