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: 0.4923
-- Rouge1: 0.3905
+- Loss: 0.6844
+- Rouge1: 0.7295
 - Rouge2: 0.0
-- Rougel: 0.3898
-- Rougelsum: 0.3916
+- Rougel: 0.7315
+- Rougelsum: 0.7272
 - Gen Len: 1.0
 
 ## Model description
@@ -43,9 +41,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 4
-- eval_batch_size: 8
+- learning_rate: 0.001
+- train_batch_size: 16
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -53,18 +51,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
-|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 0.6327        | 1.0   | 3567  | 0.4634          | 0.3795 | 0.0    | 0.3806 | 0.3802    | 1.0     |
-| 0.4349        | 2.0   | 7134  | 0.4541          | 0.3596 | 0.0    | 0.3615 | 0.3631    | 1.0     |
-| 0.3376        | 3.0   | 10701 | 0.4562          | 0.4121 | 0.0    | 0.4123 | 0.4116    | 1.0     |
-| 0.2683        | 4.0   | 14268 | 0.4744          | 0.3886 | 0.0    | 0.3869 | 0.388     | 1.0     |
-| 0.2208        | 5.0   | 17835 | 0.4923          | 0.3905 | 0.0    | 0.3898 | 0.3916    | 1.0     |
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 1.2322        | 1.0   | 892  | 0.7490          | 0.7095 | 0.0    | 0.7102 | 0.7047    | 1.0     |
+| 0.6879        | 2.0   | 1784 | 0.6347          | 0.7342 | 0.0    | 0.7339 | 0.7326    | 1.0     |
+| 0.4916        | 3.0   | 2676 | 0.6007          | 0.7021 | 0.0    | 0.7036 | 0.7024    | 1.0     |
+| 0.3445        | 4.0   | 3568 | 0.6270          | 0.7205 | 0.0    | 0.7213 | 0.7183    | 1.0     |
+| 0.2065        | 5.0   | 4460 | 0.6844          | 0.7295 | 0.0    | 0.7315 | 0.7272    | 1.0     |
 
 
 ### Framework versions
 
 - Transformers 4.40.2
-- Pytorch 2.3.0+cu121
-- Datasets 2.19.1
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
 - Tokenizers 0.19.1