End of training

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [indobenchmark/indobert-base-p2](https://huggingface.co/indobenchmark/indobert-base-p2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3276
-- Accuracy: 0.8701
-- F1: 0.8832
-- Precision: 0.87
-- Recall: 0.8969
+- Loss: 0.6126
+- Accuracy: 0.8927
+- F1: 0.8906
+- Precision: 0.8964
+- Recall: 0.8878
 
 ## Model description
 
@@ -49,22 +49,20 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| No log        | 1.0   | 89   | 0.3276          | 0.8701   | 0.8832 | 0.87      | 0.8969 |
-| No log        | 2.0   | 178  | 0.3607          | 0.8588   | 0.8744 | 0.8529    | 0.8969 |
-| No log        | 3.0   | 267  | 0.4801          | 0.8870   | 0.9    | 0.8738    | 0.9278 |
-| No log        | 4.0   | 356  | 0.5740          | 0.8870   | 0.8990 | 0.8812    | 0.9175 |
-| No log        | 5.0   | 445  | 0.5676          | 0.9040   | 0.9119 | 0.9167    | 0.9072 |
-| 0.1393        | 6.0   | 534  | 0.6471          | 0.9040   | 0.9128 | 0.9082    | 0.9175 |
-| 0.1393        | 7.0   | 623  | 0.6998          | 0.8870   | 0.8990 | 0.8812    | 0.9175 |
-| 0.1393        | 8.0   | 712  | 0.7484          | 0.8870   | 0.8990 | 0.8812    | 0.9175 |
-| 0.1393        | 9.0   | 801  | 0.7502          | 0.8870   | 0.8990 | 0.8812    | 0.9175 |
-| 0.1393        | 10.0  | 890  | 0.7642          | 0.8870   | 0.8990 | 0.8812    | 0.9175 |
+| No log        | 0.56  | 50   | 0.3455          | 0.8757   | 0.8736 | 0.8780    | 0.8713 |
+| No log        | 1.12  | 100  | 0.3013          | 0.8701   | 0.8687 | 0.8692    | 0.8683 |
+| No log        | 1.69  | 150  | 0.3773          | 0.8644   | 0.8616 | 0.8683    | 0.8588 |
+| No log        | 2.25  | 200  | 0.3923          | 0.8927   | 0.8906 | 0.8964    | 0.8878 |
+| No log        | 2.81  | 250  | 0.3634          | 0.8927   | 0.8913 | 0.8931    | 0.8900 |
+| No log        | 3.37  | 300  | 0.4554          | 0.8983   | 0.8971 | 0.8982    | 0.8963 |
+| No log        | 3.93  | 350  | 0.5317          | 0.8870   | 0.8851 | 0.8896    | 0.8827 |
+| No log        | 4.49  | 400  | 0.5834          | 0.8870   | 0.8851 | 0.8896    | 0.8827 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:442a2cc212797f61dda8df222b56350673a4570f523a8f63a1cdf013af95182c
+oid sha256:2bcb185764aadf337d76e73ba1401c2f7ae1245d08db4abb6a6ac73722354363
 size 497795072

runs/Jan14_10-12-34_fcd99226172a/events.out.tfevents.1705227156.fcd99226172a.370.12

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:678a91c3488eaa8222544f9f1a950716f54d53d7916455b48cfd45146b7ad87c
+size 8619

runs/Jan14_10-12-34_fcd99226172a/events.out.tfevents.1705227313.fcd99226172a.370.13

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:662922d0a558a96edef377bb2e67b60816834a61446dc4a947513e94c1682bbc
+size 560

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a64bbae8a9a02b9ff5672419f8e73f1f915d825ff04b33d7e8544d0398f23100
-size 4600
+oid sha256:b7fbcfe3829f47203394033c3704f259e65721da0172485e93110b357f1a53cb
+size 4536