End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: mit
-base_model: indobenchmark/indobart
+base_model: indobenchmark/indobart-v2
 tags:
 - generated_from_trainer
 metrics:
@@ -18,14 +18,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bdc2024-indobartv2
 
-This model is a fine-tuned version of [indobenchmark/indobart](https://huggingface.co/indobenchmark/indobart) on the None dataset.
+This model is a fine-tuned version of [indobenchmark/indobart-v2](https://huggingface.co/indobenchmark/indobart-v2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1750
-- Accuracy: 0.9432
-- Balanced Accuracy: 0.8553
-- Precision: 0.9451
-- Recall: 0.9432
-- F1: 0.9424
+- Loss: 1.3023
+- Accuracy: 0.7162
+- Balanced Accuracy: 0.4029
+- Precision: 0.7027
+- Recall: 0.7162
+- F1: 0.6930
 
 ## Model description
 
@@ -56,12 +56,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Balanced Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 271  | 0.7994          | 0.7664   | 0.4357            | 0.7110    | 0.7664 | 0.7293 |
-| 0.8301        | 2.0   | 542  | 0.5663          | 0.8231   | 0.5167            | 0.8054    | 0.8231 | 0.7946 |
-| 0.8301        | 3.0   | 813  | 0.3837          | 0.8690   | 0.6027            | 0.8607    | 0.8690 | 0.8564 |
-| 0.4329        | 4.0   | 1084 | 0.2614          | 0.9192   | 0.7725            | 0.9192    | 0.9192 | 0.9161 |
-| 0.4329        | 5.0   | 1355 | 0.2037          | 0.9345   | 0.8442            | 0.9345    | 0.9345 | 0.9330 |
-| 0.2228        | 6.0   | 1626 | 0.1750          | 0.9432   | 0.8553            | 0.9451    | 0.9432 | 0.9424 |
+| No log        | 1.0   | 242  | 0.9849          | 0.7271   | 0.3492            | 0.6729    | 0.7271 | 0.6848 |
+| No log        | 2.0   | 484  | 0.9894          | 0.7293   | 0.3458            | 0.6597    | 0.7293 | 0.6824 |
+| 0.7769        | 3.0   | 726  | 1.0067          | 0.7205   | 0.3858            | 0.6719    | 0.7205 | 0.6898 |
+| 0.7769        | 4.0   | 968  | 1.1637          | 0.7314   | 0.3937            | 0.7281    | 0.7314 | 0.7006 |
+| 0.3534        | 5.0   | 1210 | 1.3002          | 0.7358   | 0.3892            | 0.7103    | 0.7358 | 0.6999 |
+| 0.3534        | 6.0   | 1452 | 1.3023          | 0.7162   | 0.4029            | 0.7027    | 0.7162 | 0.6930 |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "indobenchmark/indobart",
+  "_name_or_path": "indobenchmark/indobart-v2",
   "activation_dropout": 0.1,
   "activation_function": "gelu",
   "add_bias_logits": false,

pytorch_model.bin

@@ -1,3 +1,3 @@
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 size 528650230

training_args.bin

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 size 4536