End of Training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [AptaArkana/indonesian-emotion-distilbert-base-cased-finetuned](https://huggingface.co/AptaArkana/indonesian-emotion-distilbert-base-cased-finetuned) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7984
-- F1: 0.3777
+- Loss: 0.9357
+- F1: 0.3927
 
 ## Model description
 
@@ -44,18 +44,23 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.15
-- num_epochs: 5
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.8015        | 1.0   | 91   | 0.8115          | 0.3237 |
-| 0.7196        | 2.0   | 182  | 0.7959          | 0.3462 |
-| 0.3817        | 3.0   | 273  | 0.7917          | 0.3709 |
-| 0.3347        | 4.0   | 364  | 0.7939          | 0.3666 |
-| 0.489         | 5.0   | 455  | 0.7984          | 0.3777 |
+| 0.5927        | 1.0   | 91   | 0.8094          | 0.3878 |
+| 0.4851        | 2.0   | 182  | 0.8268          | 0.3846 |
+| 0.2956        | 3.0   | 273  | 0.8444          | 0.3809 |
+| 0.1669        | 4.0   | 364  | 0.8558          | 0.3738 |
+| 0.2344        | 5.0   | 455  | 0.8772          | 0.3688 |
+| 0.0776        | 6.0   | 546  | 0.8992          | 0.3746 |
+| 0.2512        | 7.0   | 637  | 0.9313          | 0.3781 |
+| 0.1181        | 8.0   | 728  | 0.9292          | 0.3796 |
+| 0.2482        | 9.0   | 819  | 0.9284          | 0.3889 |
+| 0.6544        | 10.0  | 910  | 0.9357          | 0.3927 |
 
 
 ### Framework versions

runs/Mar14_09-23-46_1989f171f376/events.out.tfevents.1710408229.1989f171f376.97.2

@@ -1,3 +1,3 @@
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-size 103828
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+size 104182