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: 0.4122
-- Accuracy: 0.8077
-- F1: 0.8789
-- Precision: 0.8355
-- Recall: 0.9270
+- Loss: 1.3853
+- Accuracy: 0.7857
+- F1: 0.6904
+- Precision: 0.7095
+- Recall: 0.6786
 
 ## 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   | 92   | 0.4122          | 0.8077   | 0.8789 | 0.8355    | 0.9270 |
-| No log        | 2.0   | 184  | 0.4881          | 0.8022   | 0.8657 | 0.8855    | 0.8467 |
-| No log        | 3.0   | 276  | 0.6448          | 0.8297   | 0.8912 | 0.8581    | 0.9270 |
-| No log        | 4.0   | 368  | 0.8912          | 0.8132   | 0.8786 | 0.8601    | 0.8978 |
-| No log        | 5.0   | 460  | 1.2147          | 0.7967   | 0.8702 | 0.8378    | 0.9051 |
-| 0.1904        | 6.0   | 552  | 1.3269          | 0.8077   | 0.8754 | 0.8542    | 0.8978 |
-| 0.1904        | 7.0   | 644  | 1.4276          | 0.7967   | 0.8693 | 0.8425    | 0.8978 |
-| 0.1904        | 8.0   | 736  | 1.4681          | 0.8022   | 0.8732 | 0.8435    | 0.9051 |
-| 0.1904        | 9.0   | 828  | 1.4804          | 0.7967   | 0.8693 | 0.8425    | 0.8978 |
-| 0.1904        | 10.0  | 920  | 1.4867          | 0.8022   | 0.8732 | 0.8435    | 0.9051 |
+| No log        | 0.54  | 50   | 0.6229          | 0.7582   | 0.6537 | 0.6671    | 0.6454 |
+| No log        | 1.09  | 100  | 0.6750          | 0.7747   | 0.6557 | 0.6912    | 0.6414 |
+| No log        | 1.63  | 150  | 0.5936          | 0.7802   | 0.7242 | 0.7137    | 0.7421 |
+| No log        | 2.17  | 200  | 0.7087          | 0.7912   | 0.7312 | 0.7232    | 0.7419 |
+| No log        | 2.72  | 250  | 0.9279          | 0.7802   | 0.6796 | 0.7007    | 0.6675 |
+| No log        | 3.26  | 300  | 1.0408          | 0.7747   | 0.6853 | 0.6940    | 0.6788 |
+| No log        | 3.8   | 350  | 1.2506          | 0.7857   | 0.7007 | 0.7100    | 0.6935 |
+| No log        | 4.35  | 400  | 1.4011          | 0.7802   | 0.6796 | 0.7007    | 0.6675 |
+| No log        | 4.89  | 450  | 1.3770          | 0.7857   | 0.6904 | 0.7095    | 0.6786 |
 
 
 ### Framework versions

model.safetensors

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runs/Jan14_09-50-42_fcd99226172a/events.out.tfevents.1705225843.fcd99226172a.370.6

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training_args.bin

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