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: 0.2535
-- Accuracy: 0.9132
-- F1: 0.9412
-- Precision: 0.9286
-- Recall: 0.9542
+- Loss: 0.2986
+- Accuracy: 0.9119
+- F1: 0.8872
+- Precision: 0.8921
+- Recall: 0.8827
 
 ## Model description
 
@@ -49,22 +49,25 @@ 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.3084        | 1.0   | 795  | 0.2535          | 0.9132   | 0.9412 | 0.9286    | 0.9542 |
-| 0.2129        | 2.0   | 1590 | 0.2975          | 0.9056   | 0.9369 | 0.9131    | 0.9620 |
-| 0.1516        | 3.0   | 2385 | 0.3605          | 0.9043   | 0.9346 | 0.9314    | 0.9378 |
-| 0.095         | 4.0   | 3180 | 0.5394          | 0.8943   | 0.9301 | 0.8973    | 0.9655 |
-| 0.076         | 5.0   | 3975 | 0.5923          | 0.8955   | 0.9292 | 0.9182    | 0.9404 |
-| 0.0399        | 6.0   | 4770 | 0.5995          | 0.8899   | 0.9247 | 0.9212    | 0.9283 |
-| 0.0288        | 7.0   | 5565 | 0.7001          | 0.8930   | 0.9261 | 0.9326    | 0.9197 |
-| 0.0178        | 8.0   | 6360 | 0.7846          | 0.8930   | 0.9285 | 0.9049    | 0.9534 |
-| 0.0083        | 9.0   | 7155 | 0.7989          | 0.8943   | 0.9288 | 0.9125    | 0.9456 |
-| 0.0063        | 10.0  | 7950 | 0.8204          | 0.8924   | 0.9276 | 0.9102    | 0.9456 |
+| No log        | 0.06  | 50   | 0.3626          | 0.8748   | 0.8410 | 0.8423    | 0.8398 |
+| No log        | 0.13  | 100  | 0.3231          | 0.8962   | 0.8699 | 0.8666    | 0.8734 |
+| No log        | 0.19  | 150  | 0.4256          | 0.8974   | 0.8626 | 0.8892    | 0.8437 |
+| No log        | 0.25  | 200  | 0.3339          | 0.9031   | 0.8744 | 0.8845    | 0.8658 |
+| No log        | 0.31  | 250  | 0.3043          | 0.8823   | 0.8587 | 0.8446    | 0.8792 |
+| No log        | 0.38  | 300  | 0.3125          | 0.9056   | 0.8808 | 0.8802    | 0.8813 |
+| No log        | 0.44  | 350  | 0.2946          | 0.9075   | 0.8838 | 0.8813    | 0.8863 |
+| No log        | 0.5   | 400  | 0.2924          | 0.9125   | 0.8898 | 0.8884    | 0.8912 |
+| No log        | 0.57  | 450  | 0.2991          | 0.8855   | 0.8632 | 0.8480    | 0.8865 |
+| 0.3562        | 0.63  | 500  | 0.2986          | 0.9119   | 0.8872 | 0.8921    | 0.8827 |
+| 0.3562        | 0.69  | 550  | 0.2851          | 0.8779   | 0.8564 | 0.8395    | 0.8864 |
+| 0.3562        | 0.75  | 600  | 0.3272          | 0.9125   | 0.8868 | 0.8968    | 0.8781 |
+| 0.3562        | 0.82  | 650  | 0.3438          | 0.8987   | 0.8636 | 0.8933    | 0.8431 |
 
 
 ### Framework versions

runs/Jan14_09-12-53_fcd99226172a/events.out.tfevents.1705223574.fcd99226172a.370.0

@@ -1,3 +1,3 @@
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-size 9369
+oid sha256:5cdede2cea65c417a877245954122fdded2d0016405a37a38d83add7205fa5e4
+size 11139

runs/Jan14_09-12-53_fcd99226172a/events.out.tfevents.1705223897.fcd99226172a.370.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8bfe8d50004f72fedadf7587b9f0cacd5eb7785373beead8c709c4a7e5a07776
+size 560