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: 1.4536
-- Rouge1: 0.4317
+- Loss: 1.3341
+- Rouge1: 0.7266
 - Rouge2: 0.0
-- Rougel: 0.4287
-- Rougelsum: 0.4249
+- Rougel: 0.7247
+- Rougelsum: 0.7239
 - 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 |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 3.1643        | 1.0   | 892  | 2.1902          | 0.706  | 0.0    | 0.7023 | 0.7004    | 1.0     |
-| 2.6254        | 2.0   | 1784 | 1.8930          | 0.7209 | 0.0    | 0.7182 | 0.7174    | 1.0     |
-| 2.3481        | 3.0   | 2676 | 1.6724          | 0.7582 | 0.0    | 0.7531 | 0.7556    | 1.0     |
-| 2.151         | 4.0   | 3568 | 1.5205          | 0.7619 | 0.0    | 0.7592 | 0.7582    | 1.0     |
-| 2.0007        | 5.0   | 4460 | 1.4536          | 0.7613 | 0.0    | 0.7573 | 0.7551    | 1.0     |
+| 3.0485        | 1.0   | 892  | 2.0091          | 0.7257 | 0.0    | 0.7217 | 0.7197    | 1.0     |
+| 2.4113        | 2.0   | 1784 | 1.6975          | 0.723  | 0.0    | 0.7191 | 0.7182    | 1.0     |
+| 2.156         | 3.0   | 2676 | 1.5238          | 0.7284 | 0.0    | 0.7246 | 0.7242    | 1.0     |
+| 1.969         | 4.0   | 3568 | 1.4056          | 0.6992 | 0.0    | 0.6997 | 0.6977    | 1.0     |
+| 1.8249        | 5.0   | 4460 | 1.3341          | 0.7266 | 0.0    | 0.7247 | 0.7239    | 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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