End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: pradanaadn/sucidal-text-classification-distillbert
+base_model: distilbert/distilbert-base-uncased
 tags:
 - generated_from_trainer
 metrics:
@@ -16,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # sucidal-text-classification-distillbert
 
-This model is a fine-tuned version of [pradanaadn/sucidal-text-classification-distillbert](https://huggingface.co/pradanaadn/sucidal-text-classification-distillbert) on an unknown dataset.
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5138
-- Accuracy: 0.8106
-- F1: 0.7801
+- Loss: 0.0636
+- Accuracy: 0.9814
+- F1: 0.9814
 
 ## Model description
 
@@ -39,26 +39,26 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 64
-- eval_batch_size: 64
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 3
+- num_epochs: 1
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
-| 0.2549        | 0.7530 | 500  | 0.5138          | 0.8106   | 0.7801 |
-| 0.2054        | 1.5060 | 1000 | 0.6016          | 0.8142   | 0.7877 |
-| 0.1666        | 2.2590 | 1500 | 0.6464          | 0.8164   | 0.7896 |
+| Training Loss | Epoch  | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:------:|:-----:|:---------------:|:--------:|:------:|
+| 0.0822        | 0.4309 | 5000  | 0.0746          | 0.9778   | 0.9778 |
+| 0.0718        | 0.8618 | 10000 | 0.0636          | 0.9814   | 0.9814 |
 
 
 ### Framework versions
 
 - Transformers 4.41.2
 - Pytorch 2.3.0+cu121
+- Datasets 2.20.0
 - Tokenizers 0.19.1

runs/Jul17_07-51-51_ec5a69c5e9f8/events.out.tfevents.1721202718.ec5a69c5e9f8.3075.3

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runs/Jul17_07-51-51_ec5a69c5e9f8/events.out.tfevents.1721205572.ec5a69c5e9f8.3075.4

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