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: 0.4885
-- Accuracy: 0.8177
-- F1: 0.8087
-- Precision: 0.8916
-- Recall: 0.74
+- Loss: 1.0917
+- Accuracy: 0.75
+- F1: 0.7493
+- Precision: 0.7497
+- Recall: 0.7491
 
 ## Model description
 
@@ -49,22 +49,21 @@ 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   | 96   | 0.4936          | 0.7760   | 0.7817 | 0.7938    | 0.77   |
-| No log        | 2.0   | 192  | 0.4885          | 0.8177   | 0.8087 | 0.8916    | 0.74   |
-| No log        | 3.0   | 288  | 0.6119          | 0.7552   | 0.7662 | 0.7624    | 0.77   |
-| No log        | 4.0   | 384  | 1.0256          | 0.7552   | 0.7314 | 0.8533    | 0.64   |
-| No log        | 5.0   | 480  | 1.2790          | 0.7604   | 0.7629 | 0.7872    | 0.74   |
-| 0.2515        | 6.0   | 576  | 1.3453          | 0.7656   | 0.7716 | 0.7835    | 0.76   |
-| 0.2515        | 7.0   | 672  | 1.4966          | 0.7708   | 0.7864 | 0.7642    | 0.81   |
-| 0.2515        | 8.0   | 768  | 1.4197          | 0.7708   | 0.7660 | 0.8182    | 0.72   |
-| 0.2515        | 9.0   | 864  | 1.5297          | 0.7760   | 0.7861 | 0.7822    | 0.79   |
-| 0.2515        | 10.0  | 960  | 1.5265          | 0.7708   | 0.78   | 0.78      | 0.78   |
+| No log        | 0.52  | 50   | 0.5014          | 0.7812   | 0.7810 | 0.7865    | 0.7839 |
+| No log        | 1.04  | 100  | 0.5135          | 0.7708   | 0.7708 | 0.7732    | 0.7726 |
+| No log        | 1.56  | 150  | 0.5564          | 0.7552   | 0.7503 | 0.7924    | 0.7624 |
+| No log        | 2.08  | 200  | 0.5628          | 0.7604   | 0.7572 | 0.7659    | 0.7570 |
+| No log        | 2.6   | 250  | 0.8524          | 0.7083   | 0.7037 | 0.7132    | 0.7043 |
+| No log        | 3.12  | 300  | 0.6830          | 0.7448   | 0.7432 | 0.7456    | 0.7428 |
+| No log        | 3.65  | 350  | 0.9662          | 0.7292   | 0.7262 | 0.7321    | 0.7261 |
+| No log        | 4.17  | 400  | 0.9936          | 0.7656   | 0.7656 | 0.7659    | 0.7663 |
+| No log        | 4.69  | 450  | 1.0558          | 0.7604   | 0.7603 | 0.7604    | 0.7609 |
 
 
 ### Framework versions

model.safetensors

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runs/Jan14_09-58-33_fcd99226172a/events.out.tfevents.1705226316.fcd99226172a.370.8

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training_args.bin

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