End of training

README.md

@@ -4,10 +4,10 @@ base_model: indobenchmark/indobert-base-p2
 tags:
 - generated_from_trainer
 metrics:
+- accuracy
+- f1
 - precision
 - recall
-- f1
-- accuracy
 model-index:
 - name: absa_model
   results: []
@@ -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: 0.8808
-- Precision: 0.8397
-- Recall: 0.8397
-- F1: 0.8397
-- Accuracy: 0.8397
+- Loss: 0.7137
+- Accuracy: 0.8467
+- F1: 0.8425
+- Precision: 0.8447
+- Recall: 0.8467
 
 ## Model description
 
@@ -53,18 +53,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 72   | 0.7028          | 0.7422    | 0.7422 | 0.7422 | 0.7422   |
-| No log        | 2.0   | 144  | 0.6090          | 0.8084    | 0.8084 | 0.8084 | 0.8084   |
-| No log        | 3.0   | 216  | 0.6015          | 0.8223    | 0.8223 | 0.8223 | 0.8223   |
-| No log        | 4.0   | 288  | 0.7433          | 0.8084    | 0.8084 | 0.8084 | 0.8084   |
-| No log        | 5.0   | 360  | 0.8454          | 0.8014    | 0.8014 | 0.8014 | 0.8014   |
-| No log        | 6.0   | 432  | 0.8965          | 0.8153    | 0.8153 | 0.8153 | 0.8153   |
-| 0.2561        | 7.0   | 504  | 0.8387          | 0.8432    | 0.8432 | 0.8432 | 0.8432   |
-| 0.2561        | 8.0   | 576  | 0.8790          | 0.8188    | 0.8188 | 0.8188 | 0.8188   |
-| 0.2561        | 9.0   | 648  | 0.8787          | 0.8328    | 0.8328 | 0.8328 | 0.8328   |
-| 0.2561        | 10.0  | 720  | 0.8808          | 0.8397    | 0.8397 | 0.8397 | 0.8397   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| No log        | 1.0   | 72   | 0.5851          | 0.7875   | 0.7813 | 0.7881    | 0.7875 |
+| No log        | 2.0   | 144  | 0.4785          | 0.8153   | 0.8133 | 0.8184    | 0.8153 |
+| No log        | 3.0   | 216  | 0.4399          | 0.8641   | 0.8621 | 0.8654    | 0.8641 |
+| No log        | 4.0   | 288  | 0.5321          | 0.8467   | 0.8428 | 0.8445    | 0.8467 |
+| No log        | 5.0   | 360  | 0.6960          | 0.8293   | 0.8287 | 0.8365    | 0.8293 |
+| No log        | 6.0   | 432  | 0.6686          | 0.8502   | 0.8477 | 0.8495    | 0.8502 |
+| 0.2753        | 7.0   | 504  | 0.6482          | 0.8502   | 0.8493 | 0.8515    | 0.8502 |
+| 0.2753        | 8.0   | 576  | 0.7092          | 0.8537   | 0.8492 | 0.8526    | 0.8537 |
+| 0.2753        | 9.0   | 648  | 0.7125          | 0.8467   | 0.8425 | 0.8447    | 0.8467 |
+| 0.2753        | 10.0  | 720  | 0.7137          | 0.8467   | 0.8425 | 0.8447    | 0.8467 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4a88a54adea8198874f0356db61d20d5b8f79aef6e88761e7528034eacd43a71
+oid sha256:587b6c922bae70e9e7fd1313c4d5ca71d70048c30f1435ed679f1931ba50910e
 size 497804300

runs/Dec20_17-00-52_57af8687f5a1/events.out.tfevents.1703091653.57af8687f5a1.759.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:211b52f9e84f6e2e874b63fdb15ec3041e9c754098f334b8b0456f9f56021d86
-size 9512
+oid sha256:fe15da0be28271ac74401d6ce601a9e737ec79c383ee3fa718fb7adad76900b7
+size 9866