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: 1.4701
-- Rouge1: 0.437
+- Loss: 1.3073
+- Rouge1: 0.6591
 - Rouge2: 0.0
-- Rougel: 0.4338
-- Rougelsum: 0.4392
+- Rougel: 0.6548
+- Rougelsum: 0.6576
 - 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 |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 3.2165        | 1.0   | 892  | 2.2934          | 0.6553 | 0.0    | 0.6576 | 0.6573    | 1.0     |
-| 2.6671        | 2.0   | 1784 | 2.0331          | 0.6925 | 0.0    | 0.6908 | 0.6927    | 1.0     |
-| 2.3863        | 3.0   | 2676 | 1.7660          | 0.6813 | 0.0    | 0.6776 | 0.68      | 1.0     |
-| 2.1805        | 4.0   | 3568 | 1.5863          | 0.6384 | 0.0    | 0.6375 | 0.638     | 1.0     |
-| 2.0226        | 5.0   | 4460 | 1.4701          | 0.642  | 0.0    | 0.6403 | 0.6418    | 1.0     |
+| 3.0315        | 1.0   | 892  | 1.9886          | 0.6709 | 0.0    | 0.6725 | 0.6735    | 1.0     |
+| 2.3884        | 2.0   | 1784 | 1.7005          | 0.6607 | 0.0    | 0.6602 | 0.6605    | 1.0     |
+| 2.1281        | 3.0   | 2676 | 1.5320          | 0.6654 | 0.0    | 0.6668 | 0.6641    | 1.0     |
+| 1.9407        | 4.0   | 3568 | 1.3941          | 0.6373 | 0.0    | 0.6357 | 0.6361    | 1.0     |
+| 1.7957        | 5.0   | 4460 | 1.3073          | 0.6591 | 0.0    | 0.6548 | 0.6576    | 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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